{"id":"W2954440526","doi":"10.1097/acm.0000000000001928","title":"Commentary: Racism and Bias in Health Professions Education: How Educators, Faculty Developers, and Researchers Can Make a Difference","year":2017,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Racism; Scholarship; Commit; Health equity; Medical education; Underrepresented Minority; Prejudice (legal term); Racial bias; Sociology; Psychology; Pedagogy; Public relations; Political science; Medicine; Health care; Social psychology; Law; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01849817,0.001723336,0.002662439,0.001885685,0.01266048,0.007270259,0.01039284,0.07213279,0.005798342],"category_scores_gemma":[0.1234106,0.001373104,0.002226621,0.002423142,0.01231446,0.008289819,0.003874866,0.07182958,0.004968127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120701,"about_ca_system_score_gemma":0.03094871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03494611,"about_ca_topic_score_gemma":0.03447078,"domain_scores_codex":[0.9798063,0.008559675,0.002091994,0.001978537,0.006059176,0.001504158],"domain_scores_gemma":[0.862897,0.09578915,0.004679272,0.001694853,0.02829306,0.006646751],"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":[0.00002521376,0.000005614877,0.00003501579,0.0001470545,0.000009812947,0.0002038908,0.0006686194,0.00002515955,0.00004830613,0.001079091,0.9958915,0.001860716],"study_design_scores_gemma":[0.00009174488,0.00005707265,0.0003952631,0.0027783,0.00007074366,0.0008370081,0.003894748,0.000341755,0.0003355603,0.007648722,0.9834374,0.0001116497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009171195,0.001700173,0.00007701937,0.9479971,0.04942863,0.00001210543,0.00002941665,0.00001544463,0.0006483046],"genre_scores_gemma":[0.001960192,0.001662896,0.0001926283,0.9523235,0.04153032,0.00005835604,0.00001787653,0.00003540888,0.002218777],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07213279,"threshold_uncertainty_score":0.09782881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2746961274883234,"score_gpt":0.4719709223256102,"score_spread":0.1972747948372868,"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."}}