{"id":"W2412388049","doi":"","title":"Preparation of IMGs for Residency Training in Canada.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"IMG; Workforce; Disadvantage; Medical education; Residency training; Family medicine; Medicine; Psychology; Political science; Continuing education; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411548,0.000478815,0.0002239378,0.001318213,0.004523329,0.001267235,0.001425777,0.0008368898,0.03748759],"category_scores_gemma":[0.003767851,0.0003432648,0.0004360371,0.001073784,0.0006384072,0.0004869432,0.002915283,0.001468714,0.007709745],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02161376,"about_ca_system_score_gemma":0.1119363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7847353,"about_ca_topic_score_gemma":0.9501469,"domain_scores_codex":[0.9989241,0.00009211263,0.00004201768,0.00007435091,0.0003552886,0.0005120766],"domain_scores_gemma":[0.9933085,0.00008346263,0.0001940831,0.00005895881,0.00153016,0.004824809],"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":[0.0003315616,0.0005403979,0.06266589,0.001315239,0.00003196679,0.003473956,0.005916295,0.0007931594,0.003947912,0.004336033,0.5532672,0.3633803],"study_design_scores_gemma":[0.00009322469,0.0004791474,0.3126152,0.001417845,0.00002365426,0.002498525,0.00863911,0.0007954308,0.001322955,0.001203833,0.6708215,0.00008961716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3218657,0.02630659,0.01038825,0.1060812,0.008401776,0.007822158,0.01424207,0.001860347,0.5030318],"genre_scores_gemma":[0.6474747,0.02819559,0.03705642,0.0269977,0.001436462,0.002070982,0.01182193,0.0005553704,0.2443908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9783862,"threshold_uncertainty_score":0.4330649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182773565509312,"score_gpt":0.4375004184346357,"score_spread":0.3192230618837045,"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."}}