{"id":"W4404018722","doi":"10.1080/10872981.2024.2403805","title":"Medical school service regions in Canada: exploring graduate retention rates across the medical education training continuum and into professional practice","year":2024,"lang":"en","type":"article","venue":"Medical Education Online","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Air Force Materiel Command; Social Sciences and Humanities Research Council of Canada","keywords":"Medical education; Training (meteorology); Graduate medical education; Medical school; Professional development; Graduate education; Service (business); Psychology; Medicine; Accreditation; Business; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001788268,0.0002902718,0.0004138543,0.002793984,0.003304121,0.001386316,0.001507632,0.0004739614,0.001751838],"category_scores_gemma":[0.0057103,0.0003103775,0.0004679028,0.0056344,0.0009140248,0.0005036828,0.001889509,0.0007548846,0.0002440442],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03066311,"about_ca_system_score_gemma":0.05728671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917465,"about_ca_topic_score_gemma":0.9952316,"domain_scores_codex":[0.9978964,0.0001764849,0.0001244878,0.0002674087,0.0006216323,0.0009134894],"domain_scores_gemma":[0.9933281,0.0004169594,0.001312545,0.0001701522,0.002862635,0.001909601],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004418765,0.00002374631,0.9906968,0.00003261768,0.00002137185,0.00003125415,0.00181805,0.00008786281,0.00009076467,0.00009598828,0.001031434,0.006025905],"study_design_scores_gemma":[0.000003044802,0.0000167846,0.9950699,0.00003628299,0.000008141579,0.00001881531,0.003700388,0.0002433021,0.00005202623,0.00001805276,0.0008278155,0.000005482239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945299,0.0003057046,0.0001956599,0.0004260265,0.000008188033,0.00004947594,0.00295524,0.0000162666,0.001513596],"genre_scores_gemma":[0.9969953,0.0001944104,0.0003491599,0.0001292064,0.000004401101,0.00003353081,0.001544178,0.000007849583,0.0007419408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982117,"threshold_uncertainty_score":0.2224775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355882310839577,"score_gpt":0.5191121248982983,"score_spread":0.3835238938143405,"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."}}