{"id":"W4366331432","doi":"10.46747/cfp.6904228_1","title":"Three-year residency","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residency training; Medicine; Data science; Medical education; Family medicine; Computer science; Continuing education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009789505,0.0005205304,0.0003867526,0.0004734333,0.01200694,0.001386751,0.001227969,0.009287548,0.04302312],"category_scores_gemma":[0.003253801,0.0003399174,0.0003817689,0.0002859884,0.001385845,0.001292396,0.001757572,0.01176844,0.01198132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005909351,"about_ca_system_score_gemma":0.01765481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1484034,"about_ca_topic_score_gemma":0.423386,"domain_scores_codex":[0.9985286,0.000151659,0.00004445452,0.0001617336,0.0004526683,0.0006609435],"domain_scores_gemma":[0.9966349,0.0001664265,0.00006055581,0.00005790677,0.000615304,0.002464938],"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":[0.00001101701,0.00006142145,0.001186932,0.00001943899,0.000002454853,0.002494636,0.0002392858,0.00002479716,0.0001530943,0.0009309055,0.9875853,0.007290658],"study_design_scores_gemma":[0.00002107677,0.0001308867,0.007221327,0.0003522041,0.000004413443,0.003479757,0.002023169,0.0001593234,0.00007735045,0.001407287,0.9850928,0.00003032301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007298601,0.002732315,0.0002924837,0.7965388,0.03014258,0.0001842196,0.0005250371,0.000170285,0.1621156],"genre_scores_gemma":[0.03232391,0.0018143,0.0002818849,0.7098804,0.00494334,0.0001248917,0.0001783257,0.0000565654,0.2503964],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1484034,"threshold_uncertainty_score":0.2950792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07140726264387563,"score_gpt":0.3693799329819281,"score_spread":0.2979726703380524,"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."}}