{"id":"W2160618233","doi":"","title":"Provider volume and other predictors of outcome after total knee arthroplasty: a population study in Ontario.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Medicine; Comorbidity; Logistic regression; Percentile; Emergency medicine; Cohort; Arthroplasty; Population; Health care; Mortality rate; Physical therapy; Internal medicine; Surgery; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003872188,0.0002411475,0.0002574575,0.0006147666,0.001223708,0.0007356632,0.0005098043,0.0003346456,0.001476612],"category_scores_gemma":[0.001298912,0.0003708509,0.0005027925,0.002077593,0.0005765678,0.000385275,0.0005949876,0.0004560756,0.0001588477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009369898,"about_ca_system_score_gemma":0.007988161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9080071,"about_ca_topic_score_gemma":0.9324244,"domain_scores_codex":[0.9994868,0.00004884413,0.00003750209,0.0000778496,0.0001882796,0.0001606935],"domain_scores_gemma":[0.9986948,0.00006962365,0.0006542159,0.00004760406,0.0002369534,0.0002968769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002111622,0.00001518731,0.9989703,0.000008012858,0.00001557577,0.0000412278,0.0002872588,0.00001454502,0.00007325927,0.000008580995,0.0001303177,0.0004147842],"study_design_scores_gemma":[0.000003279836,0.00001594505,0.9995166,0.00000482699,0.000006755836,0.00003083639,0.0002496956,0.00005114045,0.000006216484,0.000004890368,0.000107984,0.00000180159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982712,0.0001854611,0.0000365842,0.0001316217,0.000002578616,0.00001783315,0.0009562345,0.000002522873,0.0003957748],"genre_scores_gemma":[0.9992525,0.0001039345,0.00003936143,0.00003391779,0.00000329152,0.000009464408,0.0003885756,0.000001065155,0.0001678634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09199291,"threshold_uncertainty_score":0.1850693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177127401215443,"score_gpt":0.2317211177805187,"score_spread":0.2140083776589744,"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."}}