5. AS-IS/TO-BE 비교 및 추가 분석
논문 작성용 상세 본문
AS-IS는 최종 논문 본문 타당도 분석이고, TO-BE는 자동화 재현성 검증이며, 화자분리 확장은 통화 내부 상호작용 구조를 탐색하는 분석이다.
세 축은 같은 데이터를 일부 공유하지만 연구 질문과 분석 단위가 다르므로 하나의 결과표에서 단순히 동일 기준으로 비교해서는 안 된다.
추가 분석은 발화량·턴·응답쌍과 같은 구조적 지표부터 제시하고, segment-level stress가 준비된 뒤 스트레스 연관성 분석을 확장하는 순서가 안전하다.
AS-IS와 TO-BE의 수치 차이는 동일 조건에서의 성능 차이로 바로 해석할 수 없다. 표본 구성, STT 버전, WPM 산출, 전처리, 스키마와 결과 슬롯을 먼저 확인해야 한다.
추가 분석은 현재 확보된 발화량·턴·응답쌍부터 시작하고, segment-level STT와 WPM이 완성된 뒤 stress 연관성으로 확장해야 한다.
이 단계적 접근은 후속 결과가 본문 분석의 신뢰성을 침해하지 않도록 하는 연구 연속성 전략이다.
분석 수치 및 결과표
표 5-1. 분석 축 비교
| 분석 축 | 단위 | 핵심 질문 | 현재 상태 |
|---|---|---|---|
| AS-IS | 통화 전체 | 지수 구성 타당도 | 완료 |
| TO-BE | 통화 전체 | 자동화 재현성 | 완료 |
| Speaker extension | 세그먼트/슬롯 | 화자 후보 상호작용 | 부분 완료 |
| Segment stress | 세그먼트 | 시간 순서 stress 연관 | PENDING |
표 5-2. 추가 분석 우선순위
| 우선순위 | 분석 | 필요 데이터 |
|---|---|---|
| 1 | 발화량/턴/응답쌍 | 현재 가능 |
| 2 | 세그먼트 STT/WPM | 추가 병합 |
| 3 | segment stress_score | STT/WPM 완료 후 |
| 4 | 역할 기반 고객/상담사 분석 | role mapping 검증 후 |
표 5-Q. 연구 질문
| 번호 | 연구 질문 |
|---|---|
| 1 | AS-IS와 TO-BE의 차이는 성능 차이인가, 파이프라인·표본·스키마 차이인가? |
| 2 | 추가 분석은 어떤 순서로 진행해야 하는가? |
표 5-M. 분석 방법 및 도구
| 순서 | 방법/도구 |
|---|---|
| 1 | Lineage comparison |
| 2 | Schema comparison |
| 3 | Sample-condition control |
| 4 | Additional-analysis prioritization |
분석 그림 및 도식
원본 분석 산출물 연계
산출물 CSV: research_continuity/11_asis_tobe_gap_v163/asis_tobe_gap_causes_v163.csv (행 5, 열 6)
전체 행 포함
| rank | cause | evidence | expected_effect | mp3_only | fix |
|---|---|---|---|---|---|
| 1 | 정규화 기준 차이 | 0413 AS-IS는 GLOBAL_STATS와 RAW_MIN/RAW_MAX를 고정해 stress_score를 계산한다. TO-BE가 현재 배치 기준 평균·표준편차 또는 새 min/max를 쓰면 평균이 이동한다. | 평균 stress_score 전체 이동 가능 | 아님 | TO-BE 검증용 AS-IS-compatible stress_score를 별도 산출한다. 0413 GLOBAL_STATS, ASIS_RAW_MIN, ASIS_RAW_MAX를 그대로 쓴다. |
| 2 | 음성 특징 추출 방식 차이 | 0406은 librosa.feature.rms(frame 기반)와 C2~C7 pitch를 사용했고, 0413은 sqrt(mean(y^2))와 fmin=50/fmax=600을 사용한다. TO-BE가 어느 쪽을 쓰는지에 따라 energy/pitch 평균이 달라진다. | energy_mean, pitch_mean 이동 → stress_score 평균 이동 | 부분 가능하지만 단독 원인으로 단정 금지 | 동일 wav_id 교집합에서 0413 방식으로 재추출한 compatible feature를 만든다. |
| 3 | STT/WPM 계산 차이 | wpm은 word_cnt와 duration_sec로 재계산된다. STT 파일, word count 규칙, duration 측정이 달라지면 stress_score가 바뀐다. | wpm z-score 이동 → 평균과 상관 일부 이동 | 아님 | AS-IS STT 파일 또는 같은 word_cnt 기준으로 재계산한 WPM을 비교표에 함께 표시한다. |
| 4 | 표본 수/제외 기준 차이 | AS-IS 계열은 n=998 기준이고 TO-BE는 raw n1000 및 analysis-ready n992를 분리한다. 같은 평균 비교가 아니다. | 결측/이상치 2~8건만으로도 평균과 분산이 일부 이동 가능 | 아님 | same-wav_id intersection 비교를 우선 표시하고, raw/analysis-ready는 분리 표시한다. |
| 5 | MP3/WAV 변환 차이 | 원본 압축/복원, ffmpeg 옵션, 샘플레이트, mono 변환이 다르면 energy와 duration이 변할 수 있다. | 주로 energy/duration에 영향. 그러나 0.118584 평균 차이를 단독으로 설명한다고 단정하기 어렵다. | 가능성은 있으나 검증 전 OK 처리 금지 | 동일 파일명 hash/ffprobe duration/samplerate/codec 비교를 통과한 뒤에만 '단순 음원 변환 차이'로 분류한다. |
산출물 JSON: research_continuity/11_asis_tobe_gap_v163/asis_tobe_gap_diagnosis_v163.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v163_asis_tobe_gap_diagnosis |
| state | GAP_DIAGNOSIS_REQUIRED__NOT_MP3_ONLY_YET |
| as_is_stress_score_mean | 0.517904 |
| to_be_stress_score_mean | 0.636488 |
| difference | 0.118584 |
| absolute_difference | 0.118584 |
| gap_level | LARGE_FOR_EXACT_REPRODUCTION |
| mp3_only_judgement | 아직 단순 MP3/WAV 차이라고 단정하면 안 됩니다. 같은 wav_id·같은 산식·같은 정규화로 재계산한 뒤 남는 차이만 음원 변환 차이로 볼 수 있습니다. |
| safe_interpretation | 현재 차이는 평균값 완전재현이 아니라 방향성·상관 부호·해석 구조 유사도 검증으로 설명해야 합니다. |
| target_policy | 본문은 0413 AS-IS 유지. TO-BE 원본값은 보존. 추가로 AS-IS-compatible TO-BE 값을 만들어 차이를 줄일 수 있는지 감사표에서 확인. |
| asis_global_stats_locked.energy_mean.mu | 0.048839 |
| asis_global_stats_locked.energy_mean.sigma | 0.02286 |
| asis_global_stats_locked.energy_mean.min | 0.00854 |
| asis_global_stats_locked.energy_mean.max | 0.176261 |
| asis_global_stats_locked.pitch_mean.mu | 234.5089 |
| asis_global_stats_locked.pitch_mean.sigma | 35.5084 |
| asis_global_stats_locked.pitch_mean.min | 118.8143 |
| asis_global_stats_locked.pitch_mean.max | 568.1591 |
| asis_global_stats_locked.wpm.mu | 83.6358 |
| asis_global_stats_locked.wpm.sigma | 19.0283 |
| asis_global_stats_locked.wpm.min | 3.1496 |
| asis_global_stats_locked.wpm.max | 134.2513 |
| asis_global_stats_locked.duration_sec.mu | 146.7202 |
| asis_global_stats_locked.duration_sec.sigma | 170.316 |
| asis_global_stats_locked.duration_sec.min | 2.04 |
| asis_global_stats_locked.duration_sec.max | 1719.3 |
| asis_raw_min | -4.621053665640707 |
| asis_raw_max | 4.61997054885815 |
| likely_causes[0].rank | 1 |
| likely_causes[0].cause | 정규화 기준 차이 |
| likely_causes[0].evidence | 0413 AS-IS는 GLOBAL_STATS와 RAW_MIN/RAW_MAX를 고정해 stress_score를 계산한다. TO-BE가 현재 배치 기준 평균·표준편차 또는 새 min/max를 쓰면 평균이 이동한다. |
| likely_causes[0].expected_effect | 평균 stress_score 전체 이동 가능 |
| likely_causes[0].mp3_only | 아님 |
| likely_causes[0].fix | TO-BE 검증용 AS-IS-compatible stress_score를 별도 산출한다. 0413 GLOBAL_STATS, ASIS_RAW_MIN, ASIS_RAW_MAX를 그대로 쓴다. |
| likely_causes[1].rank | 2 |
| likely_causes[1].cause | 음성 특징 추출 방식 차이 |
| likely_causes[1].evidence | 0406은 librosa.feature.rms(frame 기반)와 C2~C7 pitch를 사용했고, 0413은 sqrt(mean(y^2))와 fmin=50/fmax=600을 사용한다. TO-BE가 어느 쪽을 쓰는지에 따라 energy/pitch 평균이 달라진다. |
| likely_causes[1].expected_effect | energy_mean, pitch_mean 이동 → stress_score 평균 이동 |
| likely_causes[1].mp3_only | 부분 가능하지만 단독 원인으로 단정 금지 |
| likely_causes[1].fix | 동일 wav_id 교집합에서 0413 방식으로 재추출한 compatible feature를 만든다. |
| likely_causes[2].rank | 3 |
| likely_causes[2].cause | STT/WPM 계산 차이 |
| likely_causes[2].evidence | wpm은 word_cnt와 duration_sec로 재계산된다. STT 파일, word count 규칙, duration 측정이 달라지면 stress_score가 바뀐다. |
| likely_causes[2].expected_effect | wpm z-score 이동 → 평균과 상관 일부 이동 |
| likely_causes[2].mp3_only | 아님 |
| likely_causes[2].fix | AS-IS STT 파일 또는 같은 word_cnt 기준으로 재계산한 WPM을 비교표에 함께 표시한다. |
| likely_causes[3].rank | 4 |
| likely_causes[3].cause | 표본 수/제외 기준 차이 |
| likely_causes[3].evidence | AS-IS 계열은 n=998 기준이고 TO-BE는 raw n1000 및 analysis-ready n992를 분리한다. 같은 평균 비교가 아니다. |
| likely_causes[3].expected_effect | 결측/이상치 2~8건만으로도 평균과 분산이 일부 이동 가능 |
| likely_causes[3].mp3_only | 아님 |
| likely_causes[3].fix | same-wav_id intersection 비교를 우선 표시하고, raw/analysis-ready는 분리 표시한다. |
| likely_causes[4].rank | 5 |
| likely_causes[4].cause | MP3/WAV 변환 차이 |
| likely_causes[4].evidence | 원본 압축/복원, ffmpeg 옵션, 샘플레이트, mono 변환이 다르면 energy와 duration이 변할 수 있다. |
| likely_causes[4].expected_effect | 주로 energy/duration에 영향. 그러나 0.118584 평균 차이를 단독으로 설명한다고 단정하기 어렵다. |
| likely_causes[4].mp3_only | 가능성은 있으나 검증 전 OK 처리 금지 |
| likely_causes[4].fix | 동일 파일명 hash/ffprobe duration/samplerate/codec 비교를 통과한 뒤에만 '단순 음원 변환 차이'로 분류한다. |
| oneclick_actions_v163[0].action | A |
| oneclick_actions_v163[0].name | AS-IS-compatible TO-BE 평균 추가 |
| oneclick_actions_v163[0].detail | TO-BE 원본값은 유지하고, 0413 고정 산식으로 다시 계산한 tobe_asis_compatible_stress_mean을 별도 산출한다. |
| oneclick_actions_v163[1].action | B |
| oneclick_actions_v163[1].name | Gap Decomposition 표 생성 |
| oneclick_actions_v163[1].detail | 정규화/feature/STT-WPM/표본/음원 변환을 분리해 차이 원인을 표로 표시한다. |
| oneclick_actions_v163[2].action | C |
| oneclick_actions_v163[2].name | same-id 교집합 비교 |
| oneclick_actions_v163[2].detail | AS-IS와 TO-BE에 모두 있는 wav_id만 비교해 mp3·표본 차이를 제거한 순수 산식 차이를 본다. |
| oneclick_actions_v163[3].action | D |
| oneclick_actions_v163[3].name | 교수님 문장 고정 |
| oneclick_actions_v163[3].detail | TO-BE가 AS-IS를 완전 재현했다는 표현은 금지하고, 방향성 유사도 및 재현성 보조근거로 설명한다. |
| existing_evidence_scan.candidate_files_scanned | 2 |
| existing_evidence_scan.evidence_hits[0].relative_path | research_continuity/05_oneclick_flow/latest_flow_status_v162.json |
| existing_evidence_scan.evidence_hits[0].asis_detected | |
| existing_evidence_scan.evidence_hits[0].tobe_detected | |
| existing_evidence_scan.evidence_hits[0].contains_stress_score_mean | True |
| existing_evidence_scan.evidence_hits[1].relative_path | research_continuity/05_oneclick_flow/latest_flow_status_v161.json |
| existing_evidence_scan.evidence_hits[1].asis_detected | |
| existing_evidence_scan.evidence_hits[1].tobe_detected | |
| existing_evidence_scan.evidence_hits[1].contains_stress_score_mean | True |
| professor_sentence | AS-IS와 TO-BE의 stress_score 평균 차이가 남아 있어 TO-BE가 AS-IS를 완전 재현했다고 보지는 않았습니다. 다만 동일 wav_id 교집합, 0413 고정 산식, 동일 WPM 기준으로 AS-IS-compatible 값을 별도 산출해 차이 원인을 정규화·특징추출·STT/WPM·표본 차이로 분해하겠습니다. |
산출물 CSV: research_continuity/15_asis_tobe_warn_source_fix_v169/csv_schema_compare_resolved_v169.csv (행 138, 열 17)
전체 행 포함
| pair_key | filename | as_is_path | as_is_rows | as_is_cols | as_is_columns | as_is_status | to_be_path | to_be_rows | to_be_cols | to_be_columns | to_be_status | status | original_status | professor_ready_status | resolution_status | resolution_note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| anova.csv | anova.csv | 05_results\anova.csv | 4.0 | 4.0 | variable; F; p_value; eta_squared | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| correlation_4vars.csv | correlation_4vars.csv | 05_results\correlation_4vars.csv | 4.0 | 5.0 | metric; x; value; p_value; n | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean.csv | datasets0413_clean.csv | 04_final\datasets0413_clean.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; wpm; text_len; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean_rms.csv | datasets0413_clean_rms.csv | 04_final\datasets0413_clean_rms.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; text_len; wpm; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| descriptive_stats.csv | descriptive_stats.csv | 05_results\descriptive_stats.csv | 7.0 | 9.0 | Unnamed: 0; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413.csv | features_voc_0413.csv | 03_features\features_voc_0413.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413_rms.csv | features_voc_0413_rms.csv | 03_features\features_voc_0413_rms.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| global_ref_rms.csv | global_ref_rms.csv | 05_results\global_ref_rms.csv | 4.0 | 7.0 | variable; mu; sigma; min; max; method; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| leave_one_out.csv | leave_one_out.csv | 05_results\leave_one_out.csv | 4.0 | 4.0 | dropped_variable; corr_with_full; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| sensitivity.csv | sensitivity.csv | 05_results\sensitivity.csv | 7.0 | 4.0 | scenario; corr_with_base; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| stt_1000.csv | stt_1000.csv | stt_1000.csv | 1000.0 | 7.0 | wav_id; text; word_cnt; text_len; source; stt_ok; sample_order | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| tukey.csv | tukey.csv | 05_results\tukey.csv | 12.0 | 8.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| validity_summary.csv | validity_summary.csv | 05_results\validity_summary.csv | 3.0 | 2.0 | item; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\tables\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\validity\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\tables\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\validity\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\tables\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\validity\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\tables\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\validity\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\tables\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\validity\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\tables\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\validity\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| additional_research_execution_order.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_execution_order.csv | 6.0 | 5.0 | order; step; menu; action; required_now | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_plan.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_plan.csv | 5.0 | 9.0 | stage; topic; current_limitation; required_data; recommended_sample; method; expected_output; paper_usage; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_required_data.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_required_data.csv | 5.0 | 4.0 | data_item; columns; needed_for; current_template | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_status.csv | 1.0 | 5.0 | task; status; stress_score_n; stt_reliability_available; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_why_method_direction.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\additional_research_why_method_direction.csv | 5.0 | 5.0 | 주제; 왜 필요한가; 왜 이 기법인가; 방향성; 이번 보고에서의 표현 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_branch_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_branch_overview.csv | 2.0 | 5.0 | branch_name; branch_dir; manifest_exists; status_exists; updated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_actions.csv | 2.0 | 4.0 | priority; action; command_or_screen; done_when | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_metrics.csv | 10.0 | 8.0 | metric; asis_value; tobe_value; delta; unit; status; reason; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_overview.csv | 9.0 | 3.0 | item; value; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_root_causes.csv | 5.0 | 7.0 | priority; level; title; evidence; why_it_happened; paper_impact; next_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\aiis_key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_recommended_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_recommended_actions.csv | 1.0 | 7.0 | order; action_code; action_name; purpose; command_hint; dashboard_path; expected_result | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_root_causes.csv | 1.0 | 10.0 | cause_code; severity; title; problem; why; evidence; paper_impact; check_next; recommended_action_ref; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_snapshot_status.csv | results_by_count/n1000/snapshot/results\tables\aiis_snapshot_status.csv | 1.0 | 12.0 | slot; slot_snapshot_found; tobe_scan_roots; aiis_extension_status; core_message; asis_stt_n; tobe_stt_n; asis_feature_n; tobe_feature_n; asis_stress_n; tobe_stress_n; valid_tobe_stt_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_tracking_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_tracking_metrics.csv | 4.0 | 5.0 | tracking_metric; target; current_value; status; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_group_descriptive.csv | results_by_count/n1000/snapshot/results\tables\anova_group_descriptive.csv | 3.0 | 16.0 | stress_group; stress_score_count; stress_score_mean; stress_score_std; energy_mean_count; energy_mean_mean; energy_mean_std; pitch_mean_count; pitch_mean_mean; pitch_mean_std; wpm_count; wpm_mean; wpm_std; duration_sec_count; duration_sec_mean; duration_sec_std | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\tables\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\validity\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| applied_sciences_required_sections.csv | results_by_count/n1000/snapshot/results\tables\applied_sciences_required_sections.csv | 20.0 | 3.0 | section_or_statement; source_or_field; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| artifact_lineage.csv | results_by_count/n1000/snapshot/results\tables\repro\artifact_lineage.csv | 9.0 | 8.0 | artifact; depends_on; source_stage; upstream_1; upstream_2; upstream_3; upstream_4; risk_if_changed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| auto_execution_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\auto_execution_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| claim_strength_check.csv | results_by_count/n1000/snapshot/results\tables\ops\claim_strength_check.csv | 10.0 | 5.0 | risk_phrase; recommended_expression; found_count; files; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| complete_report_checklist.csv | results_by_count/n1000/snapshot/results\tables\complete_report_checklist.csv | 34.0 | 10.0 | order; group; title; kind; required; exists; rows_or_note; path; status; description | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| construct_validity_summary.csv | results_by_count/n1000/snapshot/results\tables\construct_validity_summary.csv | 7.0 | 3.0 | indicator; value; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| correlation_validity.csv | results_by_count/n1000/snapshot/results\tables\correlation_validity.csv | 4.0 | 6.0 | variable; r; p_value; validity_type; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| criterion_validity_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\criterion_validity_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_profile_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_profile_all.csv | 144.0 | 9.0 | side; relative_path; filename; stem; rows; cols; columns; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_schema_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_schema_compare.csv | 138.0 | 13.0 | pair_key; filename; as_is_path; as_is_rows; as_is_cols; as_is_columns; as_is_status; to_be_path; to_be_rows; to_be_cols; to_be_columns; to_be_status; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_action_plan.csv | results_by_count/n1000/snapshot/results\tables\data_quality_action_plan.csv | 3.0 | 7.0 | priority; action_code; action_name; trigger_items; reason; auto_executable; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_status.csv | results_by_count/n1000/snapshot/results\tables\data_quality_status.csv | 9.0 | 7.0 | check_item; status; value; criterion; message; recommended_action; severity | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deepseek_learning_feedback.csv | results_by_count/n1000/snapshot/results\tables\learning\deepseek_learning_feedback.csv | 5.0 | 3.0 | area; status; recommendation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deploy_result_integrity.csv | results_by_count/n1000/snapshot/results\tables\deploy_result_integrity.csv | 22.0 | 7.0 | artifact; source_type; path; exists; rows_or_exists; mtime; size_kb | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\descriptive_statistics.csv | 5.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| diagnosis.csv | results_by_count/n1000/snapshot/results\tables\repro\diagnosis.csv | 4.0 | 8.0 | issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_action_plan.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_action_plan.csv | 2.0 | 5.0 | priority; action; why; evidence; target_menu | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_problem_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_problem_trace.csv | 19.0 | 6.0 | metric_key; status; as_is_value; to_be_value; as_is_source; to_be_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_root_cause_analysis.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_root_cause_analysis.csv | 2.0 | 8.0 | priority; domain; severity; finding; evidence; likely_cause; next_check; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| failed_file_inventory.csv | results_by_count/n1000/snapshot/results\tables\ops\failed_file_inventory.csv | 600.0 | 9.0 | profile; dataset; source_csv; file_id; file; status; error; ok; transcript_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| feature_descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\feature_descriptive_statistics.csv | 4.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_all.csv | 2427.0 | 11.0 | side; root; relative_path; filename; stem; extension; size_bytes; modified_at; sha256; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_compare.csv | 2421.0 | 12.0 | filename; as_is_path; extension; as_is_size; as_is_modified; as_is_sha256; to_be_path; to_be_size; to_be_modified; to_be_sha256; status; size_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_dataset_decision_matrix.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\final_dataset_decision_matrix.csv | 3.0 | 7.0 | option; role; dataset_policy; strength; risk; recommended_use; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_paper_quality_check.csv | results_by_count/n1000/snapshot/results\tables\final_paper_quality_check.csv | 53.0 | 6.0 | section_id; section_title; issue_type; matched_text; severity; suggested_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_submission_board.csv | results_by_count/n1000/snapshot/results\tables\repro\final_submission_board.csv | 6.0 | 4.0 | category; status; item; detail | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| folder_extension_summary.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\folder_extension_summary.csv | 20.0 | 5.0 | side; top_folder; extension; file_count; total_size_bytes | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_action_plan.csv | results_by_count/n1000/snapshot/results\tables\future_research_action_plan.csv | 4.0 | 7.0 | future_task; related_limitation; priority; recommended_sample; method; statistics; paper_usage | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_limitations.csv | results_by_count/n1000/snapshot/results\tables\future_research_limitations.csv | 4.0 | 8.0 | id; title_ko; current_limitation; future_analysis; future_outputs; paper_position; current_data_status; future_data_needed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| journal_target_strategy.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\journal_target_strategy.csv | 3.0 | 5.0 | tier; journal_candidate; positioning; needed_before_submit; risk | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metric_compare.csv | 313.0 | 10.0 | metric_key; status; as_is_value; to_be_value; diff_to_be_minus_as_is; pct_diff; as_is_source; to_be_source; as_is_note; to_be_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metrics_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metrics_all.csv | 370.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_manifest.csv | results_by_count/n1000/snapshot/data\kspon\manifest\kspon_manifest.csv | 100.0 | 12.0 | file_id; pcm_source_path; txt_source_path; pcm_target_path; txt_target_path; has_audio; has_transcript; file_size_kb; source_folder; dataset; audio_copied; txt_copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_validation_plan.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\kspon_validation_plan.csv | 5.0 | 5.0 | step; minimum; recommended; output; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_by_file.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | 100.0 | 8.0 | file_id; reference_path; has_reference; reference_text; hypothesis_text; wer; cer; model | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_summary.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_summary.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\kspon\stt\kspon_whisper_medium_results.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_dashboard.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_dashboard.csv | 4.0 | 3.0 | item; value; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_progress_score.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_progress_score.csv | 1.0 | 20.0 | generated_at; profile; learning_score; status; reasons; stress_score_n; stress_score_mean; voc_stt_n; voc_stt_nonempty; wpm_nonzero_rows; feature_rows; reference_count; has_final_board; has_three_way_compare; has_claim_check; has_submission_gate; has_security_check; source_stress; source_stt; source_features | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\tables\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\validity\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| meeting_0627_current_status.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\meeting_0627_current_status.csv | 1.0 | 17.0 | profile; snapshot_found; voc_stt_n; features_n; stress_n; kspon_stt_n; wpm_nonzero; wpm_mean; quality_fail; quality_warn; corr_energy; corr_pitch; corr_wpm; corr_duration; wer; cer; generated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| monitoring_summary_n1000.csv | results_by_count/n1000/snapshot/results\tables\monitoring\monitoring_summary_n1000.csv | 13.0 | 3.0 | category; metric; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| multicenter_generalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\multicenter_generalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| next_action_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\next_action_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\robustness\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\tables\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| professor_questions_0627.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\professor_questions_0627.csv | 5.0 | 2.0 | 교수님 확인 질문; 왜 필요한가 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reference_papers_manifest.csv | results_by_count/n1000/snapshot/results\tables\reference_papers_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| references.csv | results_by_count/n1000/snapshot/results\tables\references.csv | 30.0 | 10.0 | no; authors; year; title; source; volume; pages; doi; type; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| research_improvement_cases_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\research_improvement_cases_dataset_manifest.csv | 2.0 | 3.0 | task; source; quality | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| result_similarity_matrix.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\result_similarity_matrix.csv | 313.0 | 9.0 | metric_key; category; as_is_value; to_be_value; abs_diff; pct_diff; similarity_status; judgement_reason; source_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| resume_steps_n1000.csv | results_by_count/n1000/snapshot/results\tables\resume\resume_steps_n1000.csv | 6.0 | 6.0 | step_no; step; count; target; status; command | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reviewer_qa_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\reviewer_qa_dataset_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_details.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_details.csv | 3000.0 | 2.0 | sample_id; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_summary.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_summary.csv | 5.0 | 3.0 | set_name; csv_file; id_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_current_metric_snapshot.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_current_metric_snapshot.csv | 1.0 | 16.0 | profile; snapshot_path; snapshot_exists; stt_path; stt_rows; stt_success_unique; stt_failed_or_empty; stt_model_detected; feature_path; feature_n; stress_path; stress_n; wpm_mean; stress_mean; generated_at; analysis_policy | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_readiness_gates.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_readiness_gates.csv | 7.0 | 5.0 | gate; requirement; current_status; decision; action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_reproducibility_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_reproducibility_checklist.csv | 6.0 | 5.0 | category; item; status; evidence; owner_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| speaker_normalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\speaker_normalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| statistical_validation_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\statistical_validation_checklist.csv | 7.0 | 4.0 | analysis; needed_for_scie; status; where_to_place | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| step_status_n1000.csv | results_by_count/n1000/snapshot/results\tables\history\step_status_n1000.csv | 113.0 | 15.0 | profile; section; step_no; step_label; status; status_rank; run_count; success_count; fail_count; last_event_time; last_status; last_return_code; last_elapsed_sec; last_command; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stress_index_feature_quality.csv | results_by_count/n1000/snapshot/results\tables\stress_index_feature_quality.csv | 4.0 | 6.0 | variable; valid_n; unique_n; mean; std_ddof0; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\robustness\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_reliability.csv | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_sources.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_sources.csv | 3.0 | 3.0 | source; path; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_summary.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | 1.0 | 7.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_check.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_check.csv | 19.0 | 4.0 | check; value; status; required_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_checklist.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_checklist.csv | 15.0 | 5.0 | item; status; severity; message; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submitted_doc_numeric_contexts.csv | results_by_count/n1000/snapshot/results\tables\repro\submitted_doc_numeric_contexts.csv | 29.0 | 5.0 | docx_file; context_id; tag; value; context | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| three_way_compare.csv | results_by_count/n1000/snapshot/results\tables\repro\three_way_compare.csv | 19.0 | 15.0 | metric_key; status; document_value_candidate; as_is_value; to_be_value; to_be_minus_as_is; document_minus_tobe; docx_file; tobe_root; snapshot_found; root_fallback; stale_snapshot_detected; snapshot_stt_count; root_stt_count; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tobe_metric_source_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\tobe_metric_source_trace.csv | 283.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_by_task.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_by_task.csv | 0.0 | 2.0 | task; example_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\tables\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\validity\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| validity_structure_summary.csv | results_by_count/n1000/snapshot/results\tables\validity_structure_summary.csv | 1.0 | 3.0 | convergent_mean_abs_r; auxiliary_mean_abs_r; delta | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_features.csv | results_by_count/n1000/snapshot/data\voc\features\voc_features.csv | 1000.0 | 12.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_manifest.csv | results_by_count/n1000/snapshot/data\voc\manifest\voc_manifest.csv | 1000.0 | 8.0 | file_id; source_path; target_path; file_name; extension; file_size_kb; dataset; copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stress_score_rebuilt.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | 1000.0 | 18.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; stress_raw; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stt_completeness.csv | results_by_count/n1000/snapshot/results\tables\voc_stt_completeness.csv | 1.0 | 6.0 | n; transcript_nonempty; word_cnt_nonzero; wpm_nonzero; stt_missing_rows; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_medium_results.csv | 8.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_small_results.csv | 1000.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_failed_rows.csv | 1.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_original_backup.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\validity\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| why_why_why_structure.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\why_why_why_structure.csv | 6.0 | 2.0 | 질문; 답변 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE |
산출물 CSV: research_continuity/15_asis_tobe_warn_source_fix_v169/key_metric_compare_resolved_v169.csv (행 313, 열 17)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| metric_key | status | as_is_value | to_be_value | diff_to_be_minus_as_is | pct_diff | as_is_source | to_be_source | as_is_note | to_be_note | original_status | resolution_status | professor_ready_status | resolution_note | as_is_final_locked_value | legacy_gap | final_locked_gap |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| anova_F_wpm | ASIS_ONLY | 75.26227934811351 | 05_results\anova.csv | anova_profile | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| anova_eta2_wpm | ASIS_ONLY | 0.131402297361085 | 05_results\anova.csv | anova_profile | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::anova.csv | ASIS_ONLY | 4.0 | 05_results\anova.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::correlation_4vars.csv | ASIS_ONLY | 5.0 | 05_results\correlation_4vars.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::datasets0413_clean.csv | ASIS_ONLY | 13.0 | 04_final\datasets0413_clean.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::datasets0413_clean_rms.csv | ASIS_ONLY | 13.0 | 04_final\datasets0413_clean_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::descriptive_stats.csv | ASIS_ONLY | 9.0 | 05_results\descriptive_stats.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::features_voc_0413.csv | ASIS_ONLY | 4.0 | 03_features\features_voc_0413.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::features_voc_0413_rms.csv | ASIS_ONLY | 4.0 | 03_features\features_voc_0413_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::global_ref_rms.csv | ASIS_ONLY | 7.0 | 05_results\global_ref_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::leave_one_out.csv | ASIS_ONLY | 4.0 | 05_results\leave_one_out.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::sensitivity.csv | ASIS_ONLY | 4.0 | 05_results\sensitivity.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::stt_1000.csv | ASIS_ONLY | 7.0 | stt_1000.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::tukey.csv | ASIS_ONLY | 8.0 | 05_results\tukey.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::validity_summary.csv | ASIS_ONLY | 2.0 | 05_results\validity_summary.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::anova.csv | ASIS_ONLY | 4.0 | 05_results\anova.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::correlation_4vars.csv | ASIS_ONLY | 4.0 | 05_results\correlation_4vars.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::datasets0413_clean.csv | ASIS_ONLY | 998.0 | 04_final\datasets0413_clean.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::datasets0413_clean_rms.csv | ASIS_ONLY | 998.0 | 04_final\datasets0413_clean_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::descriptive_stats.csv | ASIS_ONLY | 7.0 | 05_results\descriptive_stats.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::features_voc_0413.csv | ASIS_ONLY | 1000.0 | 03_features\features_voc_0413.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::features_voc_0413_rms.csv | ASIS_ONLY | 1000.0 | 03_features\features_voc_0413_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::global_ref_rms.csv | ASIS_ONLY | 4.0 | 05_results\global_ref_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::leave_one_out.csv | ASIS_ONLY | 4.0 | 05_results\leave_one_out.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::sensitivity.csv | ASIS_ONLY | 7.0 | 05_results\sensitivity.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| ... 중간 263행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | ||||||||||||||||
| csv_rows::voc_whisper_small_results_failed_rows.csv | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_failed_rows.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::voc_whisper_small_results_original_backup.csv | TOBE_ONLY | 12.0 | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_original_backup.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::weight_sensitivity.csv | TOBE_ONLY | 6.0 | results_by_count/n1000/snapshot/results\tables\weight_sensitivity.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::why_why_why_structure.csv | TOBE_ONLY | 6.0 | results_by_count/n1000/snapshot/results\tables\meeting_0627\why_why_why_structure.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_mean_cer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_mean_wer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_median_cer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_median_wer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_stt_n | TOBE_ONLY | 100.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_count | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_max | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_mean | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_min | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_std | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_count | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_max | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_mean | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_min | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_std | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| wer_mean | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | wer/cer file | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| wer_median | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | wer/cer file | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| energy_mean_mean | RESOLVED_REVIEWED | 0.0679645110266973 | 0.0488152021351269 | -0.0191493088915703 | -0.2817545304496968 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| energy_mean_min | RESOLVED_REVIEWED | 0.0127306031063199 | 0.0072453501634299 | -0.00548525294289 | -0.43087141253873 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| energy_mean_std | RESOLVED_REVIEWED | 0.0292308259993892 | 0.0229951877097163 | -0.0062356382896729 | -0.2133240535112911 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| stt_transcript_empty_rate | RESOLVED_REVIEWED | 0.003 | 0.0 | -0.003 | -1.0 | stt_1000.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_small_results.csv | column=text | column=transcript_path | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED |
산출물 CSV: research_continuity/15_asis_tobe_warn_source_fix_v169/strict_original_csv_schema_compare_v169.csv (행 138, 열 17)
전체 행 포함
| pair_key | filename | as_is_path | as_is_rows | as_is_cols | as_is_columns | as_is_status | to_be_path | to_be_rows | to_be_cols | to_be_columns | to_be_status | status | original_status | professor_ready_status | resolution_status | resolution_note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| anova.csv | anova.csv | 05_results\anova.csv | 4.0 | 4.0 | variable; F; p_value; eta_squared | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| correlation_4vars.csv | correlation_4vars.csv | 05_results\correlation_4vars.csv | 4.0 | 5.0 | metric; x; value; p_value; n | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean.csv | datasets0413_clean.csv | 04_final\datasets0413_clean.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; wpm; text_len; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean_rms.csv | datasets0413_clean_rms.csv | 04_final\datasets0413_clean_rms.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; text_len; wpm; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| descriptive_stats.csv | descriptive_stats.csv | 05_results\descriptive_stats.csv | 7.0 | 9.0 | Unnamed: 0; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413.csv | features_voc_0413.csv | 03_features\features_voc_0413.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413_rms.csv | features_voc_0413_rms.csv | 03_features\features_voc_0413_rms.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| global_ref_rms.csv | global_ref_rms.csv | 05_results\global_ref_rms.csv | 4.0 | 7.0 | variable; mu; sigma; min; max; method; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| leave_one_out.csv | leave_one_out.csv | 05_results\leave_one_out.csv | 4.0 | 4.0 | dropped_variable; corr_with_full; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| sensitivity.csv | sensitivity.csv | 05_results\sensitivity.csv | 7.0 | 4.0 | scenario; corr_with_base; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| stt_1000.csv | stt_1000.csv | stt_1000.csv | 1000.0 | 7.0 | wav_id; text; word_cnt; text_len; source; stt_ok; sample_order | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| tukey.csv | tukey.csv | 05_results\tukey.csv | 12.0 | 8.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| validity_summary.csv | validity_summary.csv | 05_results\validity_summary.csv | 3.0 | 2.0 | item; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\tables\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\validity\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\tables\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\validity\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\tables\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\validity\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\tables\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\validity\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\tables\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\validity\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\tables\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\validity\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| additional_research_execution_order.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_execution_order.csv | 6.0 | 5.0 | order; step; menu; action; required_now | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_plan.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_plan.csv | 5.0 | 9.0 | stage; topic; current_limitation; required_data; recommended_sample; method; expected_output; paper_usage; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_required_data.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_required_data.csv | 5.0 | 4.0 | data_item; columns; needed_for; current_template | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_status.csv | 1.0 | 5.0 | task; status; stress_score_n; stt_reliability_available; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_why_method_direction.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\additional_research_why_method_direction.csv | 5.0 | 5.0 | 주제; 왜 필요한가; 왜 이 기법인가; 방향성; 이번 보고에서의 표현 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_branch_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_branch_overview.csv | 2.0 | 5.0 | branch_name; branch_dir; manifest_exists; status_exists; updated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_actions.csv | 2.0 | 4.0 | priority; action; command_or_screen; done_when | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_metrics.csv | 10.0 | 8.0 | metric; asis_value; tobe_value; delta; unit; status; reason; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_overview.csv | 9.0 | 3.0 | item; value; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_root_causes.csv | 5.0 | 7.0 | priority; level; title; evidence; why_it_happened; paper_impact; next_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\aiis_key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_recommended_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_recommended_actions.csv | 1.0 | 7.0 | order; action_code; action_name; purpose; command_hint; dashboard_path; expected_result | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_root_causes.csv | 1.0 | 10.0 | cause_code; severity; title; problem; why; evidence; paper_impact; check_next; recommended_action_ref; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_snapshot_status.csv | results_by_count/n1000/snapshot/results\tables\aiis_snapshot_status.csv | 1.0 | 12.0 | slot; slot_snapshot_found; tobe_scan_roots; aiis_extension_status; core_message; asis_stt_n; tobe_stt_n; asis_feature_n; tobe_feature_n; asis_stress_n; tobe_stress_n; valid_tobe_stt_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_tracking_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_tracking_metrics.csv | 4.0 | 5.0 | tracking_metric; target; current_value; status; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_group_descriptive.csv | results_by_count/n1000/snapshot/results\tables\anova_group_descriptive.csv | 3.0 | 16.0 | stress_group; stress_score_count; stress_score_mean; stress_score_std; energy_mean_count; energy_mean_mean; energy_mean_std; pitch_mean_count; pitch_mean_mean; pitch_mean_std; wpm_count; wpm_mean; wpm_std; duration_sec_count; duration_sec_mean; duration_sec_std | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\tables\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\validity\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| applied_sciences_required_sections.csv | results_by_count/n1000/snapshot/results\tables\applied_sciences_required_sections.csv | 20.0 | 3.0 | section_or_statement; source_or_field; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| artifact_lineage.csv | results_by_count/n1000/snapshot/results\tables\repro\artifact_lineage.csv | 9.0 | 8.0 | artifact; depends_on; source_stage; upstream_1; upstream_2; upstream_3; upstream_4; risk_if_changed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| auto_execution_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\auto_execution_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| claim_strength_check.csv | results_by_count/n1000/snapshot/results\tables\ops\claim_strength_check.csv | 10.0 | 5.0 | risk_phrase; recommended_expression; found_count; files; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| complete_report_checklist.csv | results_by_count/n1000/snapshot/results\tables\complete_report_checklist.csv | 34.0 | 10.0 | order; group; title; kind; required; exists; rows_or_note; path; status; description | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| construct_validity_summary.csv | results_by_count/n1000/snapshot/results\tables\construct_validity_summary.csv | 7.0 | 3.0 | indicator; value; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| correlation_validity.csv | results_by_count/n1000/snapshot/results\tables\correlation_validity.csv | 4.0 | 6.0 | variable; r; p_value; validity_type; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| criterion_validity_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\criterion_validity_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_profile_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_profile_all.csv | 144.0 | 9.0 | side; relative_path; filename; stem; rows; cols; columns; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_schema_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_schema_compare.csv | 138.0 | 13.0 | pair_key; filename; as_is_path; as_is_rows; as_is_cols; as_is_columns; as_is_status; to_be_path; to_be_rows; to_be_cols; to_be_columns; to_be_status; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_action_plan.csv | results_by_count/n1000/snapshot/results\tables\data_quality_action_plan.csv | 3.0 | 7.0 | priority; action_code; action_name; trigger_items; reason; auto_executable; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_status.csv | results_by_count/n1000/snapshot/results\tables\data_quality_status.csv | 9.0 | 7.0 | check_item; status; value; criterion; message; recommended_action; severity | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deepseek_learning_feedback.csv | results_by_count/n1000/snapshot/results\tables\learning\deepseek_learning_feedback.csv | 5.0 | 3.0 | area; status; recommendation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deploy_result_integrity.csv | results_by_count/n1000/snapshot/results\tables\deploy_result_integrity.csv | 22.0 | 7.0 | artifact; source_type; path; exists; rows_or_exists; mtime; size_kb | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\descriptive_statistics.csv | 5.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| diagnosis.csv | results_by_count/n1000/snapshot/results\tables\repro\diagnosis.csv | 4.0 | 8.0 | issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_action_plan.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_action_plan.csv | 2.0 | 5.0 | priority; action; why; evidence; target_menu | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_problem_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_problem_trace.csv | 19.0 | 6.0 | metric_key; status; as_is_value; to_be_value; as_is_source; to_be_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_root_cause_analysis.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_root_cause_analysis.csv | 2.0 | 8.0 | priority; domain; severity; finding; evidence; likely_cause; next_check; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| failed_file_inventory.csv | results_by_count/n1000/snapshot/results\tables\ops\failed_file_inventory.csv | 600.0 | 9.0 | profile; dataset; source_csv; file_id; file; status; error; ok; transcript_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| feature_descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\feature_descriptive_statistics.csv | 4.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_all.csv | 2427.0 | 11.0 | side; root; relative_path; filename; stem; extension; size_bytes; modified_at; sha256; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_compare.csv | 2421.0 | 12.0 | filename; as_is_path; extension; as_is_size; as_is_modified; as_is_sha256; to_be_path; to_be_size; to_be_modified; to_be_sha256; status; size_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_dataset_decision_matrix.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\final_dataset_decision_matrix.csv | 3.0 | 7.0 | option; role; dataset_policy; strength; risk; recommended_use; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_paper_quality_check.csv | results_by_count/n1000/snapshot/results\tables\final_paper_quality_check.csv | 53.0 | 6.0 | section_id; section_title; issue_type; matched_text; severity; suggested_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_submission_board.csv | results_by_count/n1000/snapshot/results\tables\repro\final_submission_board.csv | 6.0 | 4.0 | category; status; item; detail | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| folder_extension_summary.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\folder_extension_summary.csv | 20.0 | 5.0 | side; top_folder; extension; file_count; total_size_bytes | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_action_plan.csv | results_by_count/n1000/snapshot/results\tables\future_research_action_plan.csv | 4.0 | 7.0 | future_task; related_limitation; priority; recommended_sample; method; statistics; paper_usage | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_limitations.csv | results_by_count/n1000/snapshot/results\tables\future_research_limitations.csv | 4.0 | 8.0 | id; title_ko; current_limitation; future_analysis; future_outputs; paper_position; current_data_status; future_data_needed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| journal_target_strategy.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\journal_target_strategy.csv | 3.0 | 5.0 | tier; journal_candidate; positioning; needed_before_submit; risk | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metric_compare.csv | 313.0 | 10.0 | metric_key; status; as_is_value; to_be_value; diff_to_be_minus_as_is; pct_diff; as_is_source; to_be_source; as_is_note; to_be_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metrics_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metrics_all.csv | 370.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_manifest.csv | results_by_count/n1000/snapshot/data\kspon\manifest\kspon_manifest.csv | 100.0 | 12.0 | file_id; pcm_source_path; txt_source_path; pcm_target_path; txt_target_path; has_audio; has_transcript; file_size_kb; source_folder; dataset; audio_copied; txt_copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_validation_plan.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\kspon_validation_plan.csv | 5.0 | 5.0 | step; minimum; recommended; output; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_by_file.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | 100.0 | 8.0 | file_id; reference_path; has_reference; reference_text; hypothesis_text; wer; cer; model | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_summary.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_summary.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\kspon\stt\kspon_whisper_medium_results.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_dashboard.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_dashboard.csv | 4.0 | 3.0 | item; value; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_progress_score.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_progress_score.csv | 1.0 | 20.0 | generated_at; profile; learning_score; status; reasons; stress_score_n; stress_score_mean; voc_stt_n; voc_stt_nonempty; wpm_nonzero_rows; feature_rows; reference_count; has_final_board; has_three_way_compare; has_claim_check; has_submission_gate; has_security_check; source_stress; source_stt; source_features | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\tables\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\validity\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| meeting_0627_current_status.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\meeting_0627_current_status.csv | 1.0 | 17.0 | profile; snapshot_found; voc_stt_n; features_n; stress_n; kspon_stt_n; wpm_nonzero; wpm_mean; quality_fail; quality_warn; corr_energy; corr_pitch; corr_wpm; corr_duration; wer; cer; generated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| monitoring_summary_n1000.csv | results_by_count/n1000/snapshot/results\tables\monitoring\monitoring_summary_n1000.csv | 13.0 | 3.0 | category; metric; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| multicenter_generalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\multicenter_generalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| next_action_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\next_action_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\robustness\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\tables\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| professor_questions_0627.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\professor_questions_0627.csv | 5.0 | 2.0 | 교수님 확인 질문; 왜 필요한가 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reference_papers_manifest.csv | results_by_count/n1000/snapshot/results\tables\reference_papers_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| references.csv | results_by_count/n1000/snapshot/results\tables\references.csv | 30.0 | 10.0 | no; authors; year; title; source; volume; pages; doi; type; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| research_improvement_cases_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\research_improvement_cases_dataset_manifest.csv | 2.0 | 3.0 | task; source; quality | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| result_similarity_matrix.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\result_similarity_matrix.csv | 313.0 | 9.0 | metric_key; category; as_is_value; to_be_value; abs_diff; pct_diff; similarity_status; judgement_reason; source_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| resume_steps_n1000.csv | results_by_count/n1000/snapshot/results\tables\resume\resume_steps_n1000.csv | 6.0 | 6.0 | step_no; step; count; target; status; command | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reviewer_qa_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\reviewer_qa_dataset_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_details.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_details.csv | 3000.0 | 2.0 | sample_id; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_summary.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_summary.csv | 5.0 | 3.0 | set_name; csv_file; id_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_current_metric_snapshot.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_current_metric_snapshot.csv | 1.0 | 16.0 | profile; snapshot_path; snapshot_exists; stt_path; stt_rows; stt_success_unique; stt_failed_or_empty; stt_model_detected; feature_path; feature_n; stress_path; stress_n; wpm_mean; stress_mean; generated_at; analysis_policy | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_readiness_gates.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_readiness_gates.csv | 7.0 | 5.0 | gate; requirement; current_status; decision; action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_reproducibility_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_reproducibility_checklist.csv | 6.0 | 5.0 | category; item; status; evidence; owner_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| speaker_normalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\speaker_normalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| statistical_validation_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\statistical_validation_checklist.csv | 7.0 | 4.0 | analysis; needed_for_scie; status; where_to_place | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| step_status_n1000.csv | results_by_count/n1000/snapshot/results\tables\history\step_status_n1000.csv | 113.0 | 15.0 | profile; section; step_no; step_label; status; status_rank; run_count; success_count; fail_count; last_event_time; last_status; last_return_code; last_elapsed_sec; last_command; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stress_index_feature_quality.csv | results_by_count/n1000/snapshot/results\tables\stress_index_feature_quality.csv | 4.0 | 6.0 | variable; valid_n; unique_n; mean; std_ddof0; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\robustness\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_reliability.csv | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_sources.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_sources.csv | 3.0 | 3.0 | source; path; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_summary.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | 1.0 | 7.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_check.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_check.csv | 19.0 | 4.0 | check; value; status; required_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_checklist.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_checklist.csv | 15.0 | 5.0 | item; status; severity; message; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submitted_doc_numeric_contexts.csv | results_by_count/n1000/snapshot/results\tables\repro\submitted_doc_numeric_contexts.csv | 29.0 | 5.0 | docx_file; context_id; tag; value; context | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| three_way_compare.csv | results_by_count/n1000/snapshot/results\tables\repro\three_way_compare.csv | 19.0 | 15.0 | metric_key; status; document_value_candidate; as_is_value; to_be_value; to_be_minus_as_is; document_minus_tobe; docx_file; tobe_root; snapshot_found; root_fallback; stale_snapshot_detected; snapshot_stt_count; root_stt_count; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tobe_metric_source_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\tobe_metric_source_trace.csv | 283.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_by_task.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_by_task.csv | 0.0 | 2.0 | task; example_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\tables\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\validity\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| validity_structure_summary.csv | results_by_count/n1000/snapshot/results\tables\validity_structure_summary.csv | 1.0 | 3.0 | convergent_mean_abs_r; auxiliary_mean_abs_r; delta | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_features.csv | results_by_count/n1000/snapshot/data\voc\features\voc_features.csv | 1000.0 | 12.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_manifest.csv | results_by_count/n1000/snapshot/data\voc\manifest\voc_manifest.csv | 1000.0 | 8.0 | file_id; source_path; target_path; file_name; extension; file_size_kb; dataset; copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stress_score_rebuilt.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | 1000.0 | 18.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; stress_raw; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stt_completeness.csv | results_by_count/n1000/snapshot/results\tables\voc_stt_completeness.csv | 1.0 | 6.0 | n; transcript_nonempty; word_cnt_nonzero; wpm_nonzero; stt_missing_rows; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_medium_results.csv | 8.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_small_results.csv | 1000.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_failed_rows.csv | 1.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_original_backup.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\validity\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| why_why_why_structure.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\why_why_why_structure.csv | 6.0 | 2.0 | 질문; 답변 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE |
산출물 CSV: research_continuity/15_asis_tobe_warn_source_fix_v169/strict_original_key_metric_compare_v169.csv (행 313, 열 17)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| metric_key | status | as_is_value | to_be_value | diff_to_be_minus_as_is | pct_diff | as_is_source | to_be_source | as_is_note | to_be_note | original_status | resolution_status | professor_ready_status | resolution_note | as_is_final_locked_value | legacy_gap | final_locked_gap |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| anova_F_wpm | ASIS_ONLY | 75.26227934811351 | 05_results\anova.csv | anova_profile | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| anova_eta2_wpm | ASIS_ONLY | 0.131402297361085 | 05_results\anova.csv | anova_profile | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::anova.csv | ASIS_ONLY | 4.0 | 05_results\anova.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::correlation_4vars.csv | ASIS_ONLY | 5.0 | 05_results\correlation_4vars.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::datasets0413_clean.csv | ASIS_ONLY | 13.0 | 04_final\datasets0413_clean.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::datasets0413_clean_rms.csv | ASIS_ONLY | 13.0 | 04_final\datasets0413_clean_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::descriptive_stats.csv | ASIS_ONLY | 9.0 | 05_results\descriptive_stats.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::features_voc_0413.csv | ASIS_ONLY | 4.0 | 03_features\features_voc_0413.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::features_voc_0413_rms.csv | ASIS_ONLY | 4.0 | 03_features\features_voc_0413_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::global_ref_rms.csv | ASIS_ONLY | 7.0 | 05_results\global_ref_rms.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::leave_one_out.csv | ASIS_ONLY | 4.0 | 05_results\leave_one_out.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::sensitivity.csv | ASIS_ONLY | 4.0 | 05_results\sensitivity.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::stt_1000.csv | ASIS_ONLY | 7.0 | stt_1000.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::tukey.csv | ASIS_ONLY | 8.0 | 05_results\tukey.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_cols::validity_summary.csv | ASIS_ONLY | 2.0 | 05_results\validity_summary.csv | CSV column count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::anova.csv | ASIS_ONLY | 4.0 | 05_results\anova.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::correlation_4vars.csv | ASIS_ONLY | 4.0 | 05_results\correlation_4vars.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::datasets0413_clean.csv | ASIS_ONLY | 998.0 | 04_final\datasets0413_clean.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::datasets0413_clean_rms.csv | ASIS_ONLY | 998.0 | 04_final\datasets0413_clean_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::descriptive_stats.csv | ASIS_ONLY | 7.0 | 05_results\descriptive_stats.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::features_voc_0413.csv | ASIS_ONLY | 1000.0 | 03_features\features_voc_0413.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::features_voc_0413_rms.csv | ASIS_ONLY | 1000.0 | 03_features\features_voc_0413_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::global_ref_rms.csv | ASIS_ONLY | 4.0 | 05_results\global_ref_rms.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::leave_one_out.csv | ASIS_ONLY | 4.0 | 05_results\leave_one_out.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| csv_rows::sensitivity.csv | ASIS_ONLY | 7.0 | 05_results\sensitivity.csv | CSV row count | ASIS_ONLY | NOT_APPLICABLE | ASIS_ONLY | |||||||||
| ... 중간 263행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | ||||||||||||||||
| csv_rows::voc_whisper_small_results_failed_rows.csv | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_failed_rows.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::voc_whisper_small_results_original_backup.csv | TOBE_ONLY | 12.0 | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_original_backup.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::weight_sensitivity.csv | TOBE_ONLY | 6.0 | results_by_count/n1000/snapshot/results\tables\weight_sensitivity.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| csv_rows::why_why_why_structure.csv | TOBE_ONLY | 6.0 | results_by_count/n1000/snapshot/results\tables\meeting_0627\why_why_why_structure.csv | CSV row count | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_mean_cer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_mean_wer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_median_cer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_median_wer | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| kspon_stt_n | TOBE_ONLY | 100.0 | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | stt_reliability | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_count | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_max | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_mean | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_min | TOBE_ONLY | 0.2050518579102737 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_cer_std | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_count | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_max | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_mean | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_min | TOBE_ONLY | 0.3878978364810636 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| mean_wer_std | TOBE_ONLY | 0.0 | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | raw numeric column | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| wer_mean | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | wer/cer file | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| wer_median | TOBE_ONLY | 1.0 | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | wer/cer file | selected_slot_snapshot:n1000 | TOBE_ONLY | NOT_APPLICABLE | TOBE_ONLY | |||||||||
| energy_mean_mean | RESOLVED_REVIEWED | 0.0679645110266973 | 0.0488152021351269 | -0.0191493088915703 | -0.2817545304496968 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| energy_mean_min | RESOLVED_REVIEWED | 0.0127306031063199 | 0.0072453501634299 | -0.00548525294289 | -0.43087141253873 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| energy_mean_std | RESOLVED_REVIEWED | 0.0292308259993892 | 0.0229951877097163 | -0.0062356382896729 | -0.2133240535112911 | 04_final\datasets0413_clean.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | raw numeric column | raw numeric column | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED | ||||
| stt_transcript_empty_rate | RESOLVED_REVIEWED | 0.003 | 0.0 | -0.003 | -1.0 | stt_1000.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_small_results.csv | column=text | column=transcript_path | selected_slot_snapshot:n1000 | RESOLVED_REVIEWED | NOT_APPLICABLE | RESOLVED_REVIEWED |
산출물 JSON: results/tables/asis_tobe/asis_tobe_compare_manifest.json
전체 행 포함
| 경로 | 값 |
|---|---|
| generated_at | 2026-07-04 18:35:55 |
| asis_dir | C:\jupyter_env\datasets0413 |
| tobe_dir | C:\AI\sci_voc_bot |
| tobe_profile | n1000 |
| selected_snapshot | C:\AI\sci_voc_bot\results_by_count\n1000\snapshot |
| slot_snapshot_found | True |
| using_root_fallback | False |
| stale_snapshot_detected | False |
| snapshot_stt_count | 994 |
| root_stt_count | 994 |
| source_selection_note | selected snapshot used |
| outputs.file_inventory_all.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\file_inventory_all.csv |
| outputs.folder_extension_summary.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\folder_extension_summary.csv |
| outputs.file_inventory_compare.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\file_inventory_compare.csv |
| outputs.csv_profile_all.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\csv_profile_all.csv |
| outputs.csv_schema_compare.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\csv_schema_compare.csv |
| outputs.key_metrics_all.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\key_metrics_all.csv |
| outputs.tobe_metric_source_trace.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\tobe_metric_source_trace.csv |
| outputs.key_metric_compare.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\key_metric_compare.csv |
| outputs.difference_root_cause_analysis.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\difference_root_cause_analysis.csv |
| outputs.difference_action_plan.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\difference_action_plan.csv |
| outputs.difference_problem_trace.csv | C:\AI\sci_voc_bot\results\tables\asis_tobe\difference_problem_trace.csv |
| outputs.asis_tobe_comparison_summary_ko.md | C:\AI\sci_voc_bot\results\manuscript_text\asis_tobe\asis_tobe_comparison_summary_ko.md |
| outputs.asis_tobe_comparison_report_ko.docx | C:\AI\sci_voc_bot\reports\asis_tobe\asis_tobe_comparison_report_ko.docx |
| outputs.asis_tobe_comparison_report_en.docx | C:\AI\sci_voc_bot\reports\asis_tobe\asis_tobe_comparison_report_en.docx |
산출물 CSV: results/tables/asis_tobe/csv_schema_compare.csv (행 138, 열 17)
전체 행 포함
| pair_key | filename | as_is_path | as_is_rows | as_is_cols | as_is_columns | as_is_status | to_be_path | to_be_rows | to_be_cols | to_be_columns | to_be_status | status | original_status | professor_ready_status | resolution_status | resolution_note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| anova.csv | anova.csv | 05_results\anova.csv | 4.0 | 4.0 | variable; F; p_value; eta_squared | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| correlation_4vars.csv | correlation_4vars.csv | 05_results\correlation_4vars.csv | 4.0 | 5.0 | metric; x; value; p_value; n | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean.csv | datasets0413_clean.csv | 04_final\datasets0413_clean.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; wpm; text_len; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| datasets0413_clean_rms.csv | datasets0413_clean_rms.csv | 04_final\datasets0413_clean_rms.csv | 998.0 | 13.0 | wav_id; energy_mean; pitch_mean; duration_sec; word_cnt; text_len; wpm; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; raw_stress; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| descriptive_stats.csv | descriptive_stats.csv | 05_results\descriptive_stats.csv | 7.0 | 9.0 | Unnamed: 0; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413.csv | features_voc_0413.csv | 03_features\features_voc_0413.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| features_voc_0413_rms.csv | features_voc_0413_rms.csv | 03_features\features_voc_0413_rms.csv | 1000.0 | 4.0 | wav_id; energy_mean; pitch_mean; duration_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| global_ref_rms.csv | global_ref_rms.csv | 05_results\global_ref_rms.csv | 4.0 | 7.0 | variable; mu; sigma; min; max; method; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| leave_one_out.csv | leave_one_out.csv | 05_results\leave_one_out.csv | 4.0 | 4.0 | dropped_variable; corr_with_full; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| sensitivity.csv | sensitivity.csv | 05_results\sensitivity.csv | 7.0 | 4.0 | scenario; corr_with_base; p_value; mean_abs_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| stt_1000.csv | stt_1000.csv | stt_1000.csv | 1000.0 | 7.0 | wav_id; text; word_cnt; text_len; source; stt_ok; sample_order | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| tukey.csv | tukey.csv | 05_results\tukey.csv | 12.0 | 8.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| validity_summary.csv | validity_summary.csv | 05_results\validity_summary.csv | 3.0 | 2.0 | item; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | ||||||
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\tables\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| discriminant_details.csv | discriminant_details.csv | 05_results\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | results_by_count/n1000/snapshot/results\validity\discriminant_details.csv | 4.0 | 4.0 | variable; r; p_value; abs_r | ok | MATCH | MATCH | MATCH | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\tables\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| bootstrap_ci.csv | bootstrap_ci.csv | 05_results\bootstrap_ci.csv | 4.0 | 5.0 | variable; boot_mean_r; ci_low_2_5; ci_high_97_5; n_boot | ok | results_by_count/n1000/snapshot/results\validity\bootstrap_ci.csv | 4.0 | 5.0 | variable; r; ci_lower; ci_upper; n_boot | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\tables\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| correlation_matrix.csv | correlation_matrix.csv | 05_results\correlation_matrix.csv | 7.0 | 8.0 | Unnamed: 0; energy_mean; pitch_mean; wpm; duration_sec; stress_score; word_cnt; text_len | ok | results_by_count/n1000/snapshot/results\validity\correlation_matrix.csv | 7.0 | 8.0 | variable; stress_score; energy_mean; pitch_mean; wpm; duration_sec; word_cnt; text_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\tables\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| multivariate_ols.csv | multivariate_ols.csv | 05_results\multivariate_ols.csv | 5.0 | 8.0 | term; coef; std_err; t; p_value; r2; adj_r2; n | ok | results_by_count/n1000/snapshot/results\validity\multivariate_ols.csv | 4.0 | 9.0 | term; coef; std_err; t; p_value; r2; adj_r2; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\tables\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| univariate_ols.csv | univariate_ols.csv | 05_results\univariate_ols.csv | 4.0 | 7.0 | model; intercept; slope; r2; t_slope; p_slope; n | ok | results_by_count/n1000/snapshot/results\validity\univariate_ols.csv | 4.0 | 8.0 | model; intercept; slope; r2; t_slope; p_slope; n; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\tables\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| vif.csv | vif.csv | 05_results\vif.csv | 4.0 | 2.0 | variable; VIF | ok | results_by_count/n1000/snapshot/results\validity\vif.csv | 4.0 | 3.0 | variable; VIF; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |
| additional_research_execution_order.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_execution_order.csv | 6.0 | 5.0 | order; step; menu; action; required_now | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_plan.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_plan.csv | 5.0 | 9.0 | stage; topic; current_limitation; required_data; recommended_sample; method; expected_output; paper_usage; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_required_data.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_required_data.csv | 5.0 | 4.0 | data_item; columns; needed_for; current_template | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\additional_research_status.csv | 1.0 | 5.0 | task; status; stress_score_n; stt_reliability_available; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| additional_research_why_method_direction.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\additional_research_why_method_direction.csv | 5.0 | 5.0 | 주제; 왜 필요한가; 왜 이 기법인가; 방향성; 이번 보고에서의 표현 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_branch_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_branch_overview.csv | 2.0 | 5.0 | branch_name; branch_dir; manifest_exists; status_exists; updated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_actions.csv | 2.0 | 4.0 | priority; action; command_or_screen; done_when | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_metrics.csv | 10.0 | 8.0 | metric; asis_value; tobe_value; delta; unit; status; reason; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_overview.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_overview.csv | 9.0 | 3.0 | item; value; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_final_diff_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_final_diff_root_causes.csv | 5.0 | 7.0 | priority; level; title; evidence; why_it_happened; paper_impact; next_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\aiis_key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_recommended_actions.csv | results_by_count/n1000/snapshot/results\tables\aiis_recommended_actions.csv | 1.0 | 7.0 | order; action_code; action_name; purpose; command_hint; dashboard_path; expected_result | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_root_causes.csv | results_by_count/n1000/snapshot/results\tables\aiis_root_causes.csv | 1.0 | 10.0 | cause_code; severity; title; problem; why; evidence; paper_impact; check_next; recommended_action_ref; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_snapshot_status.csv | results_by_count/n1000/snapshot/results\tables\aiis_snapshot_status.csv | 1.0 | 12.0 | slot; slot_snapshot_found; tobe_scan_roots; aiis_extension_status; core_message; asis_stt_n; tobe_stt_n; asis_feature_n; tobe_feature_n; asis_stress_n; tobe_stress_n; valid_tobe_stt_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| aiis_tracking_metrics.csv | results_by_count/n1000/snapshot/results\tables\aiis_tracking_metrics.csv | 4.0 | 5.0 | tracking_metric; target; current_value; status; source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_group_descriptive.csv | results_by_count/n1000/snapshot/results\tables\anova_group_descriptive.csv | 3.0 | 16.0 | stress_group; stress_score_count; stress_score_mean; stress_score_std; energy_mean_count; energy_mean_mean; energy_mean_std; pitch_mean_count; pitch_mean_mean; pitch_mean_std; wpm_count; wpm_mean; wpm_std; duration_sec_count; duration_sec_mean; duration_sec_std | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\tables\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| anova_profile.csv | results_by_count/n1000/snapshot/results\validity\anova_profile.csv | 4.0 | 7.0 | variable; F; p_value; eta_squared; effect_size; note; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| applied_sciences_required_sections.csv | results_by_count/n1000/snapshot/results\tables\applied_sciences_required_sections.csv | 20.0 | 3.0 | section_or_statement; source_or_field; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| artifact_lineage.csv | results_by_count/n1000/snapshot/results\tables\repro\artifact_lineage.csv | 9.0 | 8.0 | artifact; depends_on; source_stage; upstream_1; upstream_2; upstream_3; upstream_4; risk_if_changed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| auto_execution_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\auto_execution_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| claim_strength_check.csv | results_by_count/n1000/snapshot/results\tables\ops\claim_strength_check.csv | 10.0 | 5.0 | risk_phrase; recommended_expression; found_count; files; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| complete_report_checklist.csv | results_by_count/n1000/snapshot/results\tables\complete_report_checklist.csv | 34.0 | 10.0 | order; group; title; kind; required; exists; rows_or_note; path; status; description | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| construct_validity_summary.csv | results_by_count/n1000/snapshot/results\tables\construct_validity_summary.csv | 7.0 | 3.0 | indicator; value; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| correlation_validity.csv | results_by_count/n1000/snapshot/results\tables\correlation_validity.csv | 4.0 | 6.0 | variable; r; p_value; validity_type; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| criterion_validity_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\criterion_validity_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_profile_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_profile_all.csv | 144.0 | 9.0 | side; relative_path; filename; stem; rows; cols; columns; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| csv_schema_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\csv_schema_compare.csv | 138.0 | 13.0 | pair_key; filename; as_is_path; as_is_rows; as_is_cols; as_is_columns; as_is_status; to_be_path; to_be_rows; to_be_cols; to_be_columns; to_be_status; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_action_plan.csv | results_by_count/n1000/snapshot/results\tables\data_quality_action_plan.csv | 3.0 | 7.0 | priority; action_code; action_name; trigger_items; reason; auto_executable; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| data_quality_status.csv | results_by_count/n1000/snapshot/results\tables\data_quality_status.csv | 9.0 | 7.0 | check_item; status; value; criterion; message; recommended_action; severity | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deepseek_learning_feedback.csv | results_by_count/n1000/snapshot/results\tables\learning\deepseek_learning_feedback.csv | 5.0 | 3.0 | area; status; recommendation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| deploy_result_integrity.csv | results_by_count/n1000/snapshot/results\tables\deploy_result_integrity.csv | 22.0 | 7.0 | artifact; source_type; path; exists; rows_or_exists; mtime; size_kb | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\descriptive_statistics.csv | 5.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| diagnosis.csv | results_by_count/n1000/snapshot/results\tables\repro\diagnosis.csv | 4.0 | 8.0 | issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_action_plan.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_action_plan.csv | 2.0 | 5.0 | priority; action; why; evidence; target_menu | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_problem_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_problem_trace.csv | 19.0 | 6.0 | metric_key; status; as_is_value; to_be_value; as_is_source; to_be_source | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| difference_root_cause_analysis.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\difference_root_cause_analysis.csv | 2.0 | 8.0 | priority; domain; severity; finding; evidence; likely_cause; next_check; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| failed_file_inventory.csv | results_by_count/n1000/snapshot/results\tables\ops\failed_file_inventory.csv | 600.0 | 9.0 | profile; dataset; source_csv; file_id; file; status; error; ok; transcript_len | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| feature_descriptive_statistics.csv | results_by_count/n1000/snapshot/results\tables\feature_descriptive_statistics.csv | 4.0 | 9.0 | variable; count; mean; std; min; 25%; 50%; 75%; max | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_all.csv | 2427.0 | 11.0 | side; root; relative_path; filename; stem; extension; size_bytes; modified_at; sha256; status; scan_scope | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| file_inventory_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\file_inventory_compare.csv | 2421.0 | 12.0 | filename; as_is_path; extension; as_is_size; as_is_modified; as_is_sha256; to_be_path; to_be_size; to_be_modified; to_be_sha256; status; size_diff | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_dataset_decision_matrix.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\final_dataset_decision_matrix.csv | 3.0 | 7.0 | option; role; dataset_policy; strength; risk; recommended_use; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_paper_quality_check.csv | results_by_count/n1000/snapshot/results\tables\final_paper_quality_check.csv | 53.0 | 6.0 | section_id; section_title; issue_type; matched_text; severity; suggested_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| final_submission_board.csv | results_by_count/n1000/snapshot/results\tables\repro\final_submission_board.csv | 6.0 | 4.0 | category; status; item; detail | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| folder_extension_summary.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\folder_extension_summary.csv | 20.0 | 5.0 | side; top_folder; extension; file_count; total_size_bytes | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_action_plan.csv | results_by_count/n1000/snapshot/results\tables\future_research_action_plan.csv | 4.0 | 7.0 | future_task; related_limitation; priority; recommended_sample; method; statistics; paper_usage | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| future_research_limitations.csv | results_by_count/n1000/snapshot/results\tables\future_research_limitations.csv | 4.0 | 8.0 | id; title_ko; current_limitation; future_analysis; future_outputs; paper_position; current_data_status; future_data_needed | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| journal_target_strategy.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\journal_target_strategy.csv | 3.0 | 5.0 | tier; journal_candidate; positioning; needed_before_submit; risk | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\key_metric_compare.csv | 6.0 | 8.0 | metric; asis_value; tobe_value; delta; asis_source; tobe_source; status; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metric_compare.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metric_compare.csv | 313.0 | 10.0 | metric_key; status; as_is_value; to_be_value; diff_to_be_minus_as_is; pct_diff; as_is_source; to_be_source; as_is_note; to_be_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| key_metrics_all.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\key_metrics_all.csv | 370.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_manifest.csv | results_by_count/n1000/snapshot/data\kspon\manifest\kspon_manifest.csv | 100.0 | 12.0 | file_id; pcm_source_path; txt_source_path; pcm_target_path; txt_target_path; has_audio; has_transcript; file_size_kb; source_folder; dataset; audio_copied; txt_copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_validation_plan.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\kspon_validation_plan.csv | 5.0 | 5.0 | step; minimum; recommended; output; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_by_file.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_by_file.csv | 100.0 | 8.0 | file_id; reference_path; has_reference; reference_text; hypothesis_text; wer; cer; model | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_wer_cer_summary.csv | results_by_count/n1000/snapshot/results\stt_validation\kspon_wer_cer_summary.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| kspon_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\kspon\stt\kspon_whisper_medium_results.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_dashboard.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_dashboard.csv | 4.0 | 3.0 | item; value; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| learning_progress_score.csv | results_by_count/n1000/snapshot/results\tables\learning\learning_progress_score.csv | 1.0 | 20.0 | generated_at; profile; learning_score; status; reasons; stress_score_n; stress_score_mean; voc_stt_n; voc_stt_nonempty; wpm_nonzero_rows; feature_rows; reference_count; has_final_board; has_three_way_compare; has_claim_check; has_submission_gate; has_security_check; source_stress; source_stt; source_features | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\tables\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| loo_stability.csv | results_by_count/n1000/snapshot/results\validity\loo_stability.csv | 4.0 | 7.0 | removed_variable; remaining_variables; r; r_squared; p_value; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| meeting_0627_current_status.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\meeting_0627_current_status.csv | 1.0 | 17.0 | profile; snapshot_found; voc_stt_n; features_n; stress_n; kspon_stt_n; wpm_nonzero; wpm_mean; quality_fail; quality_warn; corr_energy; corr_pitch; corr_wpm; corr_duration; wer; cer; generated_at | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| monitoring_summary_n1000.csv | results_by_count/n1000/snapshot/results\tables\monitoring\monitoring_summary_n1000.csv | 13.0 | 3.0 | category; metric; value | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| multicenter_generalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\multicenter_generalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| next_action_plan.csv | results_by_count/n1000/snapshot/results\tables\repro\next_action_plan.csv | 2.0 | 10.0 | run_order; issue; status; severity; evidence; likely_cause; recommended_action; menu_no; command_hint; priority | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\robustness\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| outlier_robustness.csv | results_by_count/n1000/snapshot/results\tables\outlier_robustness.csv | 4.0 | 8.0 | scenario; n; energy_mean_r; pitch_mean_r; wpm_r; duration_sec_r; min_weight_sensitivity_r; decision | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| professor_questions_0627.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\professor_questions_0627.csv | 5.0 | 2.0 | 교수님 확인 질문; 왜 필요한가 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reference_papers_manifest.csv | results_by_count/n1000/snapshot/results\tables\reference_papers_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| references.csv | results_by_count/n1000/snapshot/results\tables\references.csv | 30.0 | 10.0 | no; authors; year; title; source; volume; pages; doi; type; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| research_improvement_cases_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\research_improvement_cases_dataset_manifest.csv | 2.0 | 3.0 | task; source; quality | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| result_similarity_matrix.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\result_similarity_matrix.csv | 313.0 | 9.0 | metric_key; category; as_is_value; to_be_value; abs_diff; pct_diff; similarity_status; judgement_reason; source_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| resume_steps_n1000.csv | results_by_count/n1000/snapshot/results\tables\resume\resume_steps_n1000.csv | 6.0 | 6.0 | step_no; step; count; target; status; command | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| reviewer_qa_dataset_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\reviewer_qa_dataset_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_details.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_details.csv | 3000.0 | 2.0 | sample_id; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| sample_match_summary.csv | results_by_count/n1000/snapshot/results\tables\repro\sample_match_summary.csv | 5.0 | 3.0 | set_name; csv_file; id_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_current_metric_snapshot.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_current_metric_snapshot.csv | 1.0 | 16.0 | profile; snapshot_path; snapshot_exists; stt_path; stt_rows; stt_success_unique; stt_failed_or_empty; stt_model_detected; feature_path; feature_n; stress_path; stress_n; wpm_mean; stress_mean; generated_at; analysis_policy | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_readiness_gates.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_readiness_gates.csv | 7.0 | 5.0 | gate; requirement; current_status; decision; action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| scie_reproducibility_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\scie_reproducibility_checklist.csv | 6.0 | 5.0 | category; item; status; evidence; owner_note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| speaker_normalization_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\speaker_normalization_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| statistical_validation_checklist.csv | results_by_count/n1000/snapshot/results\tables\scie_submission\statistical_validation_checklist.csv | 7.0 | 4.0 | analysis; needed_for_scie; status; where_to_place | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| step_status_n1000.csv | results_by_count/n1000/snapshot/results\tables\history\step_status_n1000.csv | 113.0 | 15.0 | profile; section; step_no; step_label; status; status_rank; run_count; success_count; fail_count; last_event_time; last_status; last_return_code; last_elapsed_sec; last_command; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stress_index_feature_quality.csv | results_by_count/n1000/snapshot/results\tables\stress_index_feature_quality.csv | 4.0 | 6.0 | variable; valid_n; unique_n; mean; std_ddof0; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\robustness\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_error_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\stt_error_sensitivity.csv | 6.0 | 8.0 | scenario; wpm_multiplier; correlation_with_baseline; p_value; p_value_display; mad; decision; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_reliability.csv | results_by_count/n1000/snapshot/results\tables\stt_reliability.csv | 1.0 | 9.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer; status; message | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_sources.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_sources.csv | 3.0 | 3.0 | source; path; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_status.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_status.csv | 1.0 | 4.0 | task; status; message; required_file | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| stt_wpm_reliability_summary.csv | results_by_count/n1000/snapshot/results\tables\future_analysis\stt_wpm_reliability_summary.csv | 1.0 | 7.0 | model; dataset; n; mean_wer; median_wer; mean_cer; median_cer | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_check.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_check.csv | 19.0 | 4.0 | check; value; status; required_fix | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submission_readiness_checklist.csv | results_by_count/n1000/snapshot/results\tables\submission_readiness_checklist.csv | 15.0 | 5.0 | item; status; severity; message; recommended_action | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| submitted_doc_numeric_contexts.csv | results_by_count/n1000/snapshot/results\tables\repro\submitted_doc_numeric_contexts.csv | 29.0 | 5.0 | docx_file; context_id; tag; value; context | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| three_way_compare.csv | results_by_count/n1000/snapshot/results\tables\repro\three_way_compare.csv | 19.0 | 15.0 | metric_key; status; document_value_candidate; as_is_value; to_be_value; to_be_minus_as_is; document_minus_tobe; docx_file; tobe_root; snapshot_found; root_fallback; stale_snapshot_detected; snapshot_stt_count; root_stt_count; interpretation | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tobe_metric_source_trace.csv | results_by_count/n1000/snapshot/results\tables\asis_tobe\tobe_metric_source_trace.csv | 283.0 | 5.0 | side; metric_key; metric_value; source_file; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_by_task.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_by_task.csv | 0.0 | 2.0 | task; example_count | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| training_examples_manifest.csv | results_by_count/n1000/snapshot/results\tables\learning\training_examples_manifest.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\tables\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| tukey_hsd.csv | results_by_count/n1000/snapshot/results\validity\tukey_hsd.csv | 12.0 | 9.0 | variable; group1; group2; meandiff; p_adj; lower; upper; reject; note | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| validity_structure_summary.csv | results_by_count/n1000/snapshot/results\tables\validity_structure_summary.csv | 1.0 | 3.0 | convergent_mean_abs_r; auxiliary_mean_abs_r; delta | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_features.csv | results_by_count/n1000/snapshot/data\voc\features\voc_features.csv | 1000.0 | 12.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_manifest.csv | results_by_count/n1000/snapshot/data\voc\manifest\voc_manifest.csv | 1000.0 | 8.0 | file_id; source_path; target_path; file_name; extension; file_size_kb; dataset; copied | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stress_score_rebuilt.csv | results_by_count/n1000/snapshot/results\stress_index\voc_stress_score_rebuilt.csv | 1000.0 | 18.0 | wav_id; audio_path; energy_mean; pitch_mean; duration_sec; transcript; word_cnt; text_len; wpm; stt_status; ok; error; z_energy_mean; z_pitch_mean; z_wpm; z_duration_sec; stress_raw; stress_score | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_stt_completeness.csv | results_by_count/n1000/snapshot/results\tables\voc_stt_completeness.csv | 1.0 | 6.0 | n; transcript_nonempty; word_cnt_nonzero; wpm_nonzero; stt_missing_rows; status | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_medium_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_medium_results.csv | 8.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results.csv | results_by_count/n1000/snapshot/data\voc\stt\voc_whisper_small_results.csv | 1000.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_failed_rows.csv | 0.0 | 1.0 |  | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_failed_rows.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_failed_rows.csv | 1.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171422\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_171446\voc_whisper_small_results_original_backup.csv | 12.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| voc_whisper_small_results_original_backup.csv | results_by_count/n1000/snapshot/data\voc\stt\small_failed_backup_20260702_173438\voc_whisper_small_results_original_backup.csv | 100.0 | 14.0 | file_id; audio_path; transcript_path; transcript; model; language; device; compute_type; beam_size; vad_filter; audio_duration_sec; ok; error; elapsed_sec | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\tables\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| weight_sensitivity.csv | results_by_count/n1000/snapshot/results\validity\weight_sensitivity.csv | 6.0 | 7.0 | scenario; weights_e_p_w_d; correlation_with_baseline; p_value; mad; decision; p_value_display | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE | |||||||
| why_why_why_structure.csv | results_by_count/n1000/snapshot/results\tables\meeting_0627\why_why_why_structure.csv | 6.0 | 2.0 | 질문; 답변 | ok | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | RESOLVED_SCHEMA_NORMALIZED | NOT_APPLICABLE |
산출물 텍스트: research_continuity/11_asis_tobe_gap_v163/asis_tobe_gap_diagnosis_v163.md
# AS-IS/TO-BE stress_score 평균 차이 진단 v163 - AS-IS mean: 0.517904 - TO-BE mean: 0.636488 - 차이: +0.118584 - 판정: GAP_DIAGNOSIS_REQUIRED__NOT_MP3_ONLY_YET > AS-IS와 TO-BE의 stress_score 평균 차이가 남아 있어 TO-BE가 AS-IS를 완전 재현했다고 보지는 않았습니다. 다만 동일 wav_id 교집합, 0413 고정 산식, 동일 WPM 기준으로 AS-IS-compatible 값을 별도 산출해 차이 원인을 정규화·특징추출·STT/WPM·표본 차이로 분해하겠습니다.
산출물 텍스트: results/manuscript_text/asis_tobe/asis_tobe_comparison_summary_ko.md
# AS-IS / TO-BE 전체 비교 분석 요약 - 생성 시각: 2026-07-04 18:35:55 - AS-IS 경로: `C:\jupyter_env\datasets0413` - TO-BE 경로: `C:\AI\sci_voc_bot` - TO-BE 선택 슬롯: `n1000` - TO-BE 실제 비교 기준: `선택 슬롯 snapshot` - TO-BE snapshot 경로: `C:\AI\sci_voc_bot\results_by_count\n1000\snapshot` ## 1. 핵심 판단 - 판정: 자동 비교 기준에서는 치명 차이가 제한적입니다. 다만 REVIEW/DIFF 항목은 수동 확인이 필요합니다. ## 2. 차이 원인 진단 - [WARN] AS-IS/TO-BE CSV 스키마 차이가 10개 있습니다. → 원인: AS-IS와 TO-BE가 같은 산출물 구조가 아니거나, TO-BE에 신규 검증/보안/학습 결과가 추가된 영향입니다. / 조치: 핵심 CSV 스키마만 표준화하고 부가 기능 CSV는 부록/TOBE_ONLY로 분리 - [WARN] 핵심 통계 지표 차이가 7개 있습니다. → 원인: 표본 수, 음성 변환/특징 추출 설정, 산식, 이상치 처리, STT/WPM 반영 차이에 의해 실제 수치가 달라졌을 수 있습니다. / 조치: TO-BE n≥900 체인이 완성된 뒤 다시 비교하고, 그때도 차이가 남으면 AS-IS/TO-BE 방법 차이 설명 문단으로 정리 ## 3. 메트릭 비교 현황 - MATCH: 15 - WARN: 4 - DIFF: 32 - ASIS_ONLY: 30 - TOBE_ONLY: 226 ## 4. CSV 스키마 비교 현황 - MATCH: 2 - ROW_DIFF: 0 - SCHEMA_DIFF: 10 - ASIS_ONLY: 13 - TOBE_ONLY: 113 ## 5. 권장 프로세스 1. AS-IS 경로를 `C:\jupyter_env\datasets0413`로 지정한다. 2. TO-BE는 현재 `C:\AI\sci_voc_bot` 결과 슬롯을 기준으로 비교한다. 3. 파일 인벤토리 → CSV 스키마 → 핵심 메트릭 → 문서/리포트 산출물 순서로 확인한다. 4. TO-BE의 건수 차이는 원인 후보로만 보고, 최종 판정은 stress_score, 상관 방향, 효과크기 등 결과값 유사도 중심으로 확인한다. 5. 차이가 설명 가능하면 논문에는 '재현 분석에서 주요 방향성 유지'로 쓰고, 설명 불가능하면 C 최종 분석을 다시 실행한다. ## 6. 생성 파일 - `results/tables/asis_tobe/file_inventory_compare.csv` - `results/tables/asis_tobe/csv_schema_compare.csv` - `results/tables/asis_tobe/key_metric_compare.csv` - `results/tables/asis_tobe/difference_root_cause_analysis.csv` - `results/tables/asis_tobe/difference_action_plan.csv` - `results/tables/asis_tobe/difference_problem_trace.csv` - `reports/asis_tobe/asis_tobe_comparison_report_ko.docx` - `reports/asis_tobe/asis_tobe_comparison_report_en.docx`
산출물 텍스트: results/manuscript_text/future_analysis/additional_research_manuscript_ko.md
# E. 추가연구 계획 및 한계 보완 방향 본 연구의 한계로는 첫째, 외부 준거 라벨이 없어 예측 타당도를 직접 검증하지 못했다는 점이 있다. 둘째, 단일 콜센터 데이터를 사용하였기 때문에 다른 센터와 업무 유형으로의 일반화에는 제약이 있다. 셋째, 개인 간 기저 음성 특징의 차이를 통제하지 않았으므로 화자별 음성 습관이나 성별·연령에 따른 차이가 stress_score에 혼입될 가능성이 있다. 넷째, WPM은 Whisper STT 결과를 기반으로 산출되었으므로 전사 오류가 발화속도 계산에 영향을 줄 수 있다. 이러한 한계를 보완하기 위해 후속연구에서는 다섯 가지 확장 분석이 필요하다. 첫째, 전문가 평정, 상담 품질 등급, CSAT, 민원 또는 재통화 여부와 같은 외부 준거 라벨을 수집하여 stress_score의 준거 타당도와 예측 타당도를 검증해야 한다. 둘째, 복수 콜센터와 복수 업무 유형 데이터를 추가하여 센터 간 재현성과 외적 타당도를 확인해야 한다. 셋째, speaker_id, gender, speaker_role 등 화자 메타데이터를 확보하여 화자별 z-score, 성별 보정, 혼합효과모형 등 화자 정규화 방법을 적용해야 한다. 넷째, KsponSpeech와 같은 정답 전사문 기반 데이터셋과 VOC 일부 수동 전사 Goldset을 활용하여 WER, CER, WPM 오차율 및 STT 오류가 stress_score에 미치는 영향을 추가 검증해야 한다. 다섯째, 음성 임베딩, 텍스트 감성점수, 화자분리 및 상담 메타데이터를 결합한 다채널 감성 분석으로 현재의 해석 가능한 선형 지수를 고도화할 필요가 있다. 현재 E 단계 산출물은 후속연구 설계와 실행 템플릿이다. 따라서 실제 외부 준거 라벨, 다센터 데이터, 화자 ID가 확보되기 전까지는 본 연구의 결과로 해석하지 않고, 논문의 한계 및 후속연구 절에 제한적으로 반영한다. 현재 stress_score 유효 행 수: 1000
결과 해석
연구 결과를 축별로 분리하면 본문 타당도 결과를 유지하면서도 화자분리 성과를 부록과 후속 연구로 활용할 수 있다.
한계 및 논문 반영 기준
TO-BE와 AS-IS의 수치 차이를 성능 향상 또는 악화로 단정하지 않는다.