{"id":"W4367835140","doi":"10.1186/s12875-023-02058-w","title":"Correction to: Challenges with international medical graduate selection: finding positive attributes predictive of success in family medicine residency","year":2023,"lang":"en","type":"erratum","venue":"BMC Primary Care","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Medical education; Family medicine; Medicine; Psychology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005574795,0.002092799,0.002050255,0.003298081,0.004929546,0.004705785,0.004321285,0.0117544,0.06378371],"category_scores_gemma":[0.1150062,0.001439558,0.001386026,0.002741354,0.003010296,0.002348354,0.002496886,0.01795132,0.03590441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005722621,"about_ca_system_score_gemma":0.01260013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07172778,"about_ca_topic_score_gemma":0.07629351,"domain_scores_codex":[0.9939308,0.001033169,0.001277482,0.0008436663,0.002234998,0.0006798718],"domain_scores_gemma":[0.9449788,0.01808948,0.002846417,0.002558339,0.02808032,0.003446566],"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":[0.00001376532,0.000004042047,0.00008248139,0.00003422809,0.000004069858,0.0001100193,0.00002503903,0.00001243621,0.000009237976,0.0001694206,0.9983012,0.001234225],"study_design_scores_gemma":[0.000135469,0.0000314269,0.0032143,0.0008457674,0.00005500182,0.0008158739,0.0005295161,0.0003259165,0.0002591232,0.001748835,0.9919429,0.00009589725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001502224,0.0003247916,0.0002357759,0.1272389,0.8686701,0.00002809475,0.001310198,0.0001499712,0.001891989],"genre_scores_gemma":[0.01580028,0.004476798,0.003839264,0.3117415,0.4604785,0.0005985192,0.002655652,0.001497163,0.1989123],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07172778,"threshold_uncertainty_score":0.2133778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09982846364354693,"score_gpt":0.424149187652282,"score_spread":0.3243207240087351,"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."}}