{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008849659,0.00006214259,0.0001821947,0.0001522842,0.0005006355,0.00007115503,0.000343913,0.0002829757,0.02214571],"category_scores_gemma":[0.01151009,0.00006252134,0.00004520346,0.0005220066,0.000119338,0.0001741308,0.00003834461,0.0008327829,0.00007995026],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527212,"about_ca_system_score_gemma":0.008106524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01974052,"about_ca_topic_score_gemma":0.551315,"domain_scores_codex":[0.9955733,0.0004442611,0.0002702613,0.0001222325,0.002983402,0.000606529],"domain_scores_gemma":[0.9972919,0.0002420282,0.00009441895,0.0000607367,0.0005014055,0.00180955],"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":[0.000003402802,0.00003235872,0.2302579,0.00001046247,0.00004929633,0.004569759,0.01989144,0.00000721639,0.00001044151,0.01417049,0.6264437,0.1045535],"study_design_scores_gemma":[0.0006369246,0.00001112974,0.01979345,0.00009070666,0.0000126451,0.00004485628,0.0540354,0.00001268702,0.00000193978,0.002842029,0.9224351,0.00008314033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05508296,0.001344787,0.0002200839,0.3507136,0.004456174,0.00008194063,0.0000070074,0.00002567828,0.5880678],"genre_scores_gemma":[0.9182174,0.001910469,0.0001736165,0.0689186,0.00616292,0.000001707665,0.00001056394,0.000009880857,0.004594872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8631344,"threshold_uncertainty_score":0.9975166,"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."}}