{"id":"W2282309564","doi":"10.1016/j.arth.2016.01.042","title":"Thirty-Day Complications of Conventional and Computer-Assisted Total Knee and Total Hip Arthroplasty: Analysis of 103,855 Patients in the American College of Surgeons National Surgical Quality Improvement Program Database","year":2016,"lang":"en","type":"article","venue":"The Journal of Arthroplasty","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Odds ratio; Orthopedic surgery; Surgery; Blood transfusion; Arthroplasty; Total hip arthroplasty; Adverse effect; Total knee arthroplasty; Database; Internal medicine","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":[0.001443894,0.0003351501,0.0008095303,0.001781173,0.0005224526,0.0009396113,0.0007952466,0.0007940646,0.0008385194],"category_scores_gemma":[0.004689306,0.0005406994,0.001282865,0.003289655,0.0004510924,0.0008179725,0.0008993307,0.0007966248,0.0001294225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243709,"about_ca_system_score_gemma":0.001017914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596398,"about_ca_topic_score_gemma":0.02459579,"domain_scores_codex":[0.9974872,0.0004681059,0.0006523671,0.0004825276,0.0006757278,0.0002340321],"domain_scores_gemma":[0.9919001,0.001640931,0.004596441,0.0004669997,0.0006478069,0.0007476974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008049326,0.00002077035,0.9991503,0.00001206345,0.0001269887,0.00003502036,0.00003059991,0.00004012481,0.00002779349,0.000007481864,0.00008131404,0.0003871064],"study_design_scores_gemma":[0.000007365488,0.00004066533,0.9994837,0.000004089843,0.00003433956,0.0001166824,0.0001181532,0.0001153978,0.00001446845,0.000005151978,0.0000559898,0.000003982932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971611,0.000489921,0.00009653273,0.00004324434,0.000009444238,0.000013703,0.001975325,0.000004947255,0.0002058377],"genre_scores_gemma":[0.9963472,0.0002362431,0.0001087776,0.00005420543,0.00001440912,0.00001775475,0.003148594,0.000002803589,0.00007002267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596398,"threshold_uncertainty_score":0.0317421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173253070499239,"score_gpt":0.3051882767086624,"score_spread":0.28345574600367,"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."}}