{"id":"W4403299886","doi":"10.1111/medu.15549","title":"(Mis)Alignment in resident and advisor co‐regulated learning in competency‐based training","year":2024,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; Mount Sinai Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; St. Michael's Hospital; Centre for Advancing Health Outcomes; University of British Columbia; Women's College Hospital; University Health Network; University of Toronto","funders":"Department of Medicine, University of Toronto; University of Toronto; Royal College of Physicians and Surgeons of Canada","keywords":"Medical education; Training (meteorology); Psychology; MEDLINE; Medicine; Computer science; Chemistry; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02706891,0.000188061,0.0002554491,0.001314134,0.003951168,0.003737886,0.001147778,0.001154286,0.001081496],"category_scores_gemma":[0.06513963,0.0003472612,0.0002655018,0.0008559655,0.00677376,0.002347033,0.006107057,0.001588649,0.0001917163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004464574,"about_ca_system_score_gemma":0.006326583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005195482,"about_ca_topic_score_gemma":0.01127165,"domain_scores_codex":[0.940189,0.04815191,0.001848421,0.002497409,0.00554703,0.001766275],"domain_scores_gemma":[0.9505334,0.02782621,0.01016359,0.002761423,0.005037527,0.003677802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001160041,0.0001488956,0.1524697,0.0002786715,0.00005132523,0.0006484058,0.762562,0.0003202982,0.002072588,0.008094922,0.001036796,0.07220029],"study_design_scores_gemma":[0.00001825874,0.0003201669,0.1938389,0.0004072566,0.00004845599,0.001595938,0.7665249,0.002324143,0.002032591,0.009609086,0.02318173,0.00009867127],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781564,0.0006273022,0.00926034,0.002051977,0.00006889412,0.00006803838,0.00001841863,0.00003253518,0.009715999],"genre_scores_gemma":[0.9973028,0.00008701059,0.001879435,0.0001849253,0.000007483765,0.00002943992,0.000008795857,0.000006194834,0.0004939368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02706891,"threshold_uncertainty_score":0.1431558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468761540136749,"score_gpt":0.3546715610402221,"score_spread":0.3399839456388546,"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."}}