{"id":"W4321606115","doi":"10.36834/cmej.75845","title":"Equity, diversity, inclusion, and social justice in CanMEDS 2025","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association des Médecins d'Urgence du Québec; University of Toronto; University of Calgary; McGill University; University of Ottawa; University of Saskatchewan","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Equity (law); Inclusion (mineral); Social justice; Diversity (politics); Criminology; Data science; Computer science; Sociology; Psychology; Political science; Social psychology; 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":[0.02097783,0.0002967867,0.00060547,0.002120198,0.01922082,0.01435315,0.001654737,0.008673054,0.01431784],"category_scores_gemma":[0.03295508,0.000319276,0.0005436916,0.002461446,0.02125048,0.008949941,0.01660633,0.01081924,0.0008024292],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03132138,"about_ca_system_score_gemma":0.1159927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4180353,"about_ca_topic_score_gemma":0.6566904,"domain_scores_codex":[0.9773318,0.007673432,0.0006443211,0.0006485651,0.006991089,0.006710754],"domain_scores_gemma":[0.9774581,0.006359142,0.0008985883,0.0004599651,0.003290746,0.01153349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004256343,0.0001296073,0.005060383,0.0002939677,0.00002414297,0.0002060115,0.02772048,0.0001842236,0.0001063494,0.5041972,0.3428414,0.1191937],"study_design_scores_gemma":[0.00003596444,0.00005445415,0.02231592,0.003165323,0.00002946793,0.0001820162,0.03702576,0.0002311263,0.0001793213,0.1812134,0.7554569,0.0001103699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008627149,0.0168671,0.0006087845,0.8636378,0.003452454,0.00005319104,0.0001848825,0.00002896213,0.1065397],"genre_scores_gemma":[0.6314238,0.01700826,0.002677061,0.3125665,0.005833164,0.000266048,0.0003235081,0.00007546572,0.02982605],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9686786,"threshold_uncertainty_score":0.8312041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625585278075263,"score_gpt":0.4802183265904481,"score_spread":0.4176597987829218,"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."}}