{"id":"W2769403517","doi":"","title":"McGill-Harvard-Yenching Library Joint Digitization Project: Ming-Qing Women's Writings","year":2006,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Digitization; Joint (building); China; History; Library science; Media studies; Art; Political science; Engineering; Sociology; Telecommunications; Computer science; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003477682,0.0002310979,0.0002436523,0.0006831756,0.002839876,0.0003521519,0.0004563718,0.0001156274,0.0001626181],"category_scores_gemma":[0.0001204533,0.0002657605,0.0001538729,0.001124276,0.0003457383,0.003242406,0.0001833428,0.0004749921,0.00008376895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481259,"about_ca_system_score_gemma":0.0003226934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210614,"about_ca_topic_score_gemma":0.0001940043,"domain_scores_codex":[0.9978938,0.000440586,0.0002305068,0.0004932131,0.0004348749,0.000507082],"domain_scores_gemma":[0.9992048,0.000124365,0.0001851798,0.0002247854,0.0000813545,0.0001795036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001170981,0.0002202604,0.01335762,0.0000641912,0.00005449116,0.0004266234,0.01590138,0.00008929196,0.002910173,0.963507,0.001572869,0.00177903],"study_design_scores_gemma":[0.0006496923,0.0000546694,0.006064653,0.0001253413,0.0000320705,0.000009959878,0.002412113,0.00004324595,0.0001918456,0.1030068,0.8868708,0.0005388519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4130595,0.00001520887,0.0001911583,0.0002432063,0.0002658217,0.0002649113,0.00007807445,0.0003537769,0.5855284],"genre_scores_gemma":[0.9772213,0.00002164727,0.0009584441,0.0001637894,0.0005481204,0.000002169151,0.00008998136,0.00003321743,0.02096135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852979,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477556352638179,"score_gpt":0.2113479920184221,"score_spread":0.1965724284920403,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}