{"id":"W3153281077","doi":"10.37964/cr24736","title":"Improving physician diversity and inclusion benefits physicians and patients","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Physician Leadership","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Equity (law); Health equity; Harassment; Diversity (politics); Public relations; Health care; Cultural competence; Inclusion (mineral); Underrepresented Minority; Accountability; Cultural diversity; Medicine; Psychology; Political science; Medical education; Nursing; Social psychology; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004682221,0.0001196688,0.000237516,0.0001284563,0.004855143,0.00009038927,0.0003277542,0.00008323151,0.00001296047],"category_scores_gemma":[0.0001623332,0.00013489,0.00007518222,0.0002893732,0.0005445133,0.0005106715,0.0006514234,0.0002797372,0.000002130296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784853,"about_ca_system_score_gemma":0.0005175566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008850029,"about_ca_topic_score_gemma":0.04114242,"domain_scores_codex":[0.9985396,0.0001451467,0.0001485027,0.0001738873,0.0005806764,0.0004121418],"domain_scores_gemma":[0.9986674,0.00007094113,0.0001855066,0.00009324297,0.0004228051,0.0005601688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002619182,0.00009761431,0.1141501,0.000109138,0.000109737,0.0002265183,0.3028087,0.00001171961,0.0002524006,0.007796535,0.003096462,0.5713149],"study_design_scores_gemma":[0.003980819,0.0006262079,0.3047339,0.00156113,0.0006173734,0.00001099205,0.6463298,0.00004150682,0.00114096,0.009167048,0.03065771,0.001132516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883538,0.001796934,0.00002154388,0.00503515,0.0005129316,0.00007491158,0.00002264757,0.000007517129,0.004174524],"genre_scores_gemma":[0.9913344,0.00005590328,0.00004763579,0.00778254,0.0006144028,1.668857e-7,0.000004207256,0.000008551752,0.0001521255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5701824,"threshold_uncertainty_score":0.9977501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04948659284839354,"score_gpt":0.2299402681920403,"score_spread":0.1804536753436468,"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."}}