{"id":"W2790846241","doi":"10.1503/cmaj.68737","title":"Unmatched Canadian medical graduates","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; NOSM University; Canadian Medical Association","funders":"","keywords":"Medical education; Medical practice; Medical school; Family medicine; Medicine; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002132572,0.0003558409,0.0004619338,0.0008412208,0.01513468,0.002798314,0.001516644,0.01243388,0.01297373],"category_scores_gemma":[0.01350307,0.0002871529,0.0004951046,0.0009692393,0.003805009,0.001989981,0.002546926,0.01071773,0.003372427],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02672713,"about_ca_system_score_gemma":0.05150002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5875604,"about_ca_topic_score_gemma":0.8190446,"domain_scores_codex":[0.993565,0.000356253,0.0002003702,0.0005995987,0.002696927,0.002581818],"domain_scores_gemma":[0.9903679,0.0008329689,0.0004114386,0.0002307484,0.002371344,0.005785596],"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":[0.00002457126,0.00003729917,0.004997975,0.0000448923,0.000007541768,0.005829714,0.001508049,0.00003989154,0.0002669102,0.005624654,0.9526078,0.02901074],"study_design_scores_gemma":[0.00002587454,0.00005486325,0.01071468,0.0003928402,0.00001525454,0.007830265,0.01020025,0.0002084734,0.0001556836,0.004749957,0.9655929,0.00005882903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009004493,0.002777516,0.0001277676,0.9143879,0.01447072,0.00004281572,0.0001563928,0.00005644651,0.05897592],"genre_scores_gemma":[0.07203551,0.002707085,0.0002073737,0.8783389,0.006959621,0.00003431067,0.0001350568,0.00003713272,0.03954493],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9732729,"threshold_uncertainty_score":0.8297371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715489198437241,"score_gpt":0.3698298158843412,"score_spread":0.3426749238999688,"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."}}