{"id":"W4417259237","doi":"10.62694/efh.2025.378","title":"Using community data to inform medical school admissions: a cohort study of medical students in Ottawa, Canada","year":2025,"lang":"","type":"article","venue":"Education for Health","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut du Savoir Montfort; Bruyère; University of Ottawa","funders":"","keywords":"Medical school; Indigenous; Cohort; Diversity (politics); Census; Cohort study; Neighbourhood (mathematics); Ethnic group; Accountability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001730064,0.0004092722,0.0003793059,0.002244384,0.005127391,0.002210188,0.001432194,0.0004884325,0.002407742],"category_scores_gemma":[0.004301846,0.0005283923,0.000487439,0.004782808,0.001222969,0.0007269778,0.00212182,0.0009565987,0.000418399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01784993,"about_ca_system_score_gemma":0.03024568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98194,"about_ca_topic_score_gemma":0.9935966,"domain_scores_codex":[0.9973846,0.0003438905,0.0001943294,0.0003620651,0.0008341998,0.0008809617],"domain_scores_gemma":[0.9953519,0.0003605604,0.001164854,0.000280081,0.001453817,0.001388785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002440701,0.00005219874,0.9937176,0.00001972141,0.00001899464,0.00008696136,0.003179466,0.00002536323,0.0001560172,0.00004960133,0.0004101475,0.002259653],"study_design_scores_gemma":[0.000004995326,0.0000362287,0.9870785,0.00003947163,0.00001338349,0.00006096974,0.01164009,0.0001617841,0.00006587423,0.00002998116,0.0008523767,0.00001638276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970194,0.0001342574,0.0001180163,0.000232983,0.000009227135,0.0001184036,0.001487528,0.000004917334,0.0008752709],"genre_scores_gemma":[0.9980506,0.0002163954,0.0002812228,0.0001606889,0.000005250703,0.00005316578,0.0005922125,0.000005256094,0.0006352818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806003,"threshold_uncertainty_score":0.1295109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519204491331519,"score_gpt":0.5495453860751642,"score_spread":0.3976249369420123,"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."}}