{"id":"W3132692501","doi":"10.1503/cmaj.200951","title":"Advancing gender equity in medicine","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Institute for Work & Health; McMaster University Medical Centre; Public Health Ontario; University of Toronto; University of Ottawa","funders":"Ontario Institute for Cancer Research; University of Ottawa","keywords":"Gender equity; Equity (law); Academic medicine; Gender disparity; Data science; Medicine; Political science; Medical education; Public relations; Computer science; Sociology; Social science; Gender studies; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.03188002,0.0006887718,0.0009325041,0.003321219,0.01131331,0.01477877,0.002819545,0.009644436,0.04538149],"category_scores_gemma":[0.05677456,0.0004073597,0.0009642145,0.002008393,0.02055459,0.01076126,0.01680345,0.01503184,0.004916871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02972551,"about_ca_system_score_gemma":0.09764498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08922972,"about_ca_topic_score_gemma":0.1958201,"domain_scores_codex":[0.9783267,0.006708145,0.000488478,0.001206002,0.007918677,0.005352027],"domain_scores_gemma":[0.9376994,0.01882872,0.001795812,0.001873648,0.01226253,0.02753995],"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":[0.00002761714,0.00006238482,0.002370269,0.0007698074,0.00003054792,0.0001612618,0.007025793,0.0001481695,0.0002328881,0.2444131,0.5441447,0.2006134],"study_design_scores_gemma":[0.00002017786,0.00004247636,0.003006626,0.003595751,0.00001952049,0.0001431042,0.007672293,0.00006431802,0.0001829247,0.1382286,0.8469942,0.00002998697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001142513,0.02708365,0.001183579,0.8915404,0.01120512,0.00004961653,0.0001209471,0.000056812,0.06761733],"genre_scores_gemma":[0.167942,0.08640556,0.008867683,0.6427746,0.03657723,0.0002634835,0.0003327426,0.0001726379,0.05666405],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08922972,"threshold_uncertainty_score":0.2156746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424860221827515,"score_gpt":0.3367789863486666,"score_spread":0.3025303841303915,"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."}}