{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002659473,0.00009977245,0.0001851299,0.0005189921,0.005552491,0.00001788985,0.0003724712,0.0003576879,0.01513807],"category_scores_gemma":[0.005846603,0.00009992421,0.00002363241,0.0006902812,0.0001069718,0.0001126212,0.001361317,0.001456147,0.0003284459],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609014,"about_ca_system_score_gemma":0.05278375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09024016,"about_ca_topic_score_gemma":0.4109718,"domain_scores_codex":[0.9973383,0.0004269842,0.0004526293,0.0001624362,0.0007603114,0.0008593719],"domain_scores_gemma":[0.99391,0.0002306785,0.0001194061,0.00008629343,0.0002491772,0.005404455],"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":[0.000007479898,0.00001798678,0.03478913,0.000152529,0.000004267034,0.00007315358,0.01976898,7.391814e-7,2.978715e-7,0.003942391,0.9050463,0.0361967],"study_design_scores_gemma":[0.0007258536,0.0000253523,0.1176623,0.0007236042,0.00002644645,0.0000425992,0.03580466,0.0001647861,8.333801e-8,0.009614076,0.8350497,0.0001605592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4636866,0.0005538831,0.000005566636,0.4902211,0.008575313,0.0003914795,0.0000178177,0.00004908788,0.03649914],"genre_scores_gemma":[0.8802965,0.0006667847,0.00005263846,0.1109125,0.002663388,0.00001871717,0.00003155981,0.00001522045,0.005342595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4166099,"threshold_uncertainty_score":0.9957421,"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."}}