{"id":"W4220664886","doi":"10.21203/rs.3.rs-1265499/v1","title":"Effect of body mass index on postoperative mechanical alignment and long-term outcomes of residual varus after total knee arthroplasty: a retrospective cohort study of 671 knees","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West China Hospital, Sichuan University; Sichuan University","keywords":"Total knee arthroplasty; Medicine; Body mass index; Retrospective cohort study; Term (time); Arthroplasty; Cohort; Residual; Index (typography); Surgery; Internal medicine; Mathematics; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008666327,0.0003890512,0.000633718,0.001203681,0.0006664212,0.0007712226,0.0004865793,0.0005363434,0.001196417],"category_scores_gemma":[0.001980375,0.0006687986,0.0008331466,0.00137202,0.0004669348,0.0007422606,0.0006725118,0.0006532624,0.0002855008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570067,"about_ca_system_score_gemma":0.0004068414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004383452,"about_ca_topic_score_gemma":0.005471643,"domain_scores_codex":[0.9992161,0.0001347858,0.0001387247,0.0002143233,0.0001560545,0.0001400143],"domain_scores_gemma":[0.9978871,0.0003145561,0.0009531574,0.0002356959,0.0002168472,0.000392639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006429582,0.00001873098,0.9995049,0.000003986711,0.00003971336,0.00006782688,0.00002911997,0.000007387389,0.00008315951,0.000002697224,0.00001710859,0.0001610645],"study_design_scores_gemma":[0.000006275154,0.0001269055,0.9991696,0.000004361005,0.00003535152,0.0003305667,0.0001448916,0.00008118853,0.00002640959,0.000005486085,0.000065094,0.00000388533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995444,0.0001512142,0.00003974483,0.000007444545,0.000003563888,0.000006935526,0.000174175,9.697241e-7,0.00007150338],"genre_scores_gemma":[0.9995486,0.00007407901,0.00003626904,0.00001321796,0.000006879528,0.00000965401,0.0002632975,0.000001406226,0.00004656389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004383452,"threshold_uncertainty_score":0.008715868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965272368686585,"score_gpt":0.3611912953192223,"score_spread":0.3415385716323565,"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."}}