{"id":"W3207318126","doi":"10.1097/acm.0000000000004476","title":"Resident Equity, Diversity, and Inclusion Committee: A Mechanism for Programmatic Change","year":2021,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Excellence; Diversity (politics); Equity (law); Inclusion (mineral); Public relations; Population; Political science; Medical education; Medicine; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0398737,0.0004547923,0.000469296,0.0006656246,0.007889685,0.007501381,0.006219164,0.01645619,0.01122456],"category_scores_gemma":[0.1618277,0.0006367475,0.0007268029,0.0006029736,0.007288377,0.00585272,0.006140542,0.02301364,0.002257263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004654907,"about_ca_system_score_gemma":0.01787799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201354,"about_ca_topic_score_gemma":0.005672371,"domain_scores_codex":[0.9769388,0.01100241,0.001544135,0.00205118,0.005678144,0.002785292],"domain_scores_gemma":[0.8984885,0.0515038,0.006924759,0.004403858,0.01957572,0.01910334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005124441,0.0001576094,0.002112939,0.000161005,0.00002617209,0.0006232921,0.002341784,0.000119422,0.0001222398,0.01582747,0.9428906,0.03556626],"study_design_scores_gemma":[0.000115626,0.0001356379,0.002479459,0.0005253768,0.00005532178,0.0006187771,0.003245807,0.0008023073,0.0006557572,0.01216176,0.979131,0.00007311507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002231256,0.0007108896,0.001627236,0.9436823,0.04795013,0.00005929837,0.00001193924,0.00008008819,0.003646846],"genre_scores_gemma":[0.06754681,0.001617927,0.004360199,0.7967718,0.1118709,0.0003158113,0.00004176842,0.0001623297,0.01731249],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0398737,"threshold_uncertainty_score":0.2108748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070905205386853,"score_gpt":0.3870138459090025,"score_spread":0.1799233253703172,"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."}}