{"id":"W2167901983","doi":"10.3109/0142159x.2014.993599","title":"Conceptual and practical challenges in the assessment of physician competencies","year":2014,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Innovations in Medical Education","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Sunnybrook Health Science Centre; Health Sciences Centre; Women's College Hospital; University Health Network; University of Toronto; The Wilson Centre","funders":"","keywords":"Situated; Context (archaeology); Engineering ethics; Conceptual framework; Competency assessment; Medical education; Knowledge management; Psychology; Medicine; Computer science; Sociology; Engineering; Social 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2342974,0.001298526,0.001434602,0.009378537,0.004778489,0.02278541,0.007200303,0.007503856,0.003373337],"category_scores_gemma":[0.2844647,0.001263351,0.001033488,0.005143999,0.05686312,0.02116415,0.0129375,0.01037699,0.0006946215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01153439,"about_ca_system_score_gemma":0.0174056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370249,"about_ca_topic_score_gemma":0.005845708,"domain_scores_codex":[0.7217519,0.2351045,0.01094606,0.004743392,0.02534877,0.002105291],"domain_scores_gemma":[0.58574,0.351596,0.008880481,0.01268538,0.03729017,0.00380792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003186314,0.000145007,0.004662826,0.0009514474,0.00003112898,0.0002864246,0.05099966,0.001129085,0.0002874801,0.8508265,0.004548815,0.08609972],"study_design_scores_gemma":[0.00003693264,0.0001071463,0.002940753,0.003765967,0.00003088588,0.0009482536,0.07336872,0.007127801,0.0005838679,0.8506227,0.06036594,0.0001010651],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0522576,0.02168955,0.4947574,0.3343529,0.002532114,0.001498172,0.0002099668,0.0002693179,0.09243289],"genre_scores_gemma":[0.5351038,0.003883364,0.4446409,0.008309605,0.0008140078,0.003211725,0.0001045952,0.00008326446,0.003848808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2342974,"threshold_uncertainty_score":0.9442476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08488696857638509,"score_gpt":0.4113694160059392,"score_spread":0.3264824474295541,"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."}}