{"id":"W2791184253","doi":"10.1503/cmaj.109-5559","title":"More supports for unmatched medical students coming soon","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical school; Medical education; Computer science; Medicine; Data science","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":[0.004221184,0.0004420847,0.0006176758,0.0009953072,0.0167259,0.006554468,0.002544203,0.004213953,0.06601561],"category_scores_gemma":[0.01622599,0.0004910242,0.0009110793,0.0008523149,0.002915571,0.004981036,0.01199113,0.01061903,0.007097501],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009826079,"about_ca_system_score_gemma":0.06576366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1115867,"about_ca_topic_score_gemma":0.4379292,"domain_scores_codex":[0.993916,0.0008793509,0.0001459634,0.0002664101,0.001525823,0.003266459],"domain_scores_gemma":[0.9345491,0.00092559,0.001393031,0.000545478,0.004205147,0.05838164],"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":[0.0001549749,0.0009140497,0.04761812,0.0003347917,0.00005575345,0.001533826,0.01063531,0.0001347861,0.001316146,0.00481881,0.7524934,0.1799899],"study_design_scores_gemma":[0.000201603,0.000818518,0.1354598,0.00198477,0.00007302615,0.001367389,0.08678016,0.0003595789,0.0006716186,0.007358181,0.7647567,0.000168651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1238428,0.004867998,0.001114031,0.798853,0.01912431,0.0001894275,0.0004545501,0.0003240672,0.05122991],"genre_scores_gemma":[0.5942675,0.008411156,0.004598094,0.3011583,0.007777089,0.0002172708,0.001071141,0.0002827482,0.08221677],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9901739,"threshold_uncertainty_score":0.2218743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490707651829993,"score_gpt":0.4427606008850798,"score_spread":0.4178535243667799,"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."}}