{"id":"W2901707225","doi":"10.1111/medu.13765","title":"Operationalising complexity in health professions education","year":2018,"lang":"en","type":"letter","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Operationalization; Health professions; Selection (genetic algorithm); Psychology; Sociology; Health care; Epistemology; Computer science; Political science; Philosophy; 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":[0.02630501,0.000553516,0.0006697129,0.001271461,0.006008096,0.007442794,0.002355468,0.01873143,0.00317837],"category_scores_gemma":[0.07766886,0.0004182762,0.0009071027,0.001490804,0.02340193,0.01440888,0.007958798,0.0262449,0.001248806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00876666,"about_ca_system_score_gemma":0.00988098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737871,"about_ca_topic_score_gemma":0.03536738,"domain_scores_codex":[0.9739293,0.01401347,0.001451228,0.001861911,0.00711549,0.001628582],"domain_scores_gemma":[0.8980336,0.0784348,0.004940472,0.002637322,0.01229984,0.003654017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005072942,0.0000655519,0.006390214,0.00009828679,0.00002114499,0.0006150592,0.01127956,0.000358812,0.000113509,0.2705563,0.6688243,0.04162654],"study_design_scores_gemma":[0.00007226437,0.00006132483,0.003707487,0.0005601679,0.00001624345,0.0006280063,0.01411485,0.001447058,0.000307478,0.3461458,0.6328248,0.0001145067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008032086,0.000380318,0.0005136867,0.9943521,0.001166231,0.000005512228,0.00001096648,0.00000739822,0.002760588],"genre_scores_gemma":[0.04732778,0.0007650272,0.001976096,0.9356837,0.009620018,0.00007986041,0.00002288844,0.00002572548,0.00449886],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02630501,"threshold_uncertainty_score":0.1391158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09800233554380919,"score_gpt":0.4694316463695264,"score_spread":0.3714293108257172,"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."}}