{"id":"W2944729079","doi":"10.30770/2572-1852-105.1.6","title":"State of the Science on Risk and Support Factors to Physician Performance: A Report from the Pan-Canadian Physician Factors Collaboration","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Regulation","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Courtesy; Family medicine; State (computer science); Medicine; Political science; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006902433,0.0001207597,0.0002837185,0.0001489888,0.0007135132,0.00003090394,0.0004070949,0.000128077,0.00009245003],"category_scores_gemma":[0.005308575,0.0000629848,0.00005243458,0.0007201281,0.0002067577,0.0005879891,0.00007046293,0.0009658767,0.00001925515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608121,"about_ca_system_score_gemma":0.005272758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125561,"about_ca_topic_score_gemma":0.01160885,"domain_scores_codex":[0.9952324,0.0009907114,0.0009492877,0.0001914534,0.002314195,0.0003219442],"domain_scores_gemma":[0.9950782,0.001447102,0.001851809,0.0003884519,0.0007802725,0.0004541785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001033537,0.00004928823,0.9355502,0.00005744235,0.00003047922,0.000003065661,0.01929531,0.00009297572,0.0009826085,0.0002479384,0.001549158,0.04203822],"study_design_scores_gemma":[0.0002730339,0.0001939601,0.986133,0.000423623,0.0000230793,0.000001205085,0.005000952,0.0003590995,0.0006187654,0.0004138437,0.006493515,0.00006597068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801522,0.00001604059,0.00004394665,0.0172906,0.001445994,0.0006012435,0.0000377688,0.000005317795,0.0004068193],"genre_scores_gemma":[0.9965358,0.00005105883,0.00002710555,0.002931667,0.0003252027,0.000002779202,0.000007407931,0.00001150192,0.0001074299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0505828,"threshold_uncertainty_score":0.9953285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2094992323504937,"score_gpt":0.4761002894353307,"score_spread":0.2666010570848369,"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."}}