{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01529018,0.0003508029,0.001184813,0.0007611252,0.0008968363,0.00005044624,0.003257931,0.0003703612,0.0176902],"category_scores_gemma":[0.2424301,0.0003267968,0.00005628415,0.002271847,0.00009710219,0.0001515248,0.001223987,0.002127938,0.00000821126],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677804,"about_ca_system_score_gemma":0.5501597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8036744,"about_ca_topic_score_gemma":0.7718192,"domain_scores_codex":[0.9886404,0.001238919,0.003135867,0.0006691638,0.005530756,0.0007849527],"domain_scores_gemma":[0.9657444,0.002145545,0.000866872,0.003628046,0.0008845804,0.02673055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001354452,0.01931309,0.3581669,0.001637513,0.0001662268,0.000002189695,0.004542806,0.000003673032,7.957158e-7,0.0002784143,0.5981401,0.01761288],"study_design_scores_gemma":[0.005167977,0.0007837802,0.5083781,0.01083481,0.0001770192,0.00001088516,0.09250595,0.002555579,0.000002488212,0.0000418782,0.3792561,0.000285377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169295,0.00134188,0.0002386773,0.3639145,0.007746197,0.008884752,0.0001450888,0.00002419833,0.0007751524],"genre_scores_gemma":[0.8515972,0.0003421497,0.0006541362,0.1427007,0.0004610053,0.0003613101,0.0007149171,0.00003339283,0.003135147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5474819,"threshold_uncertainty_score":0.9999184,"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."}}