{"id":"W2937770737","doi":"10.1055/s-0039-1683977","title":"One-Year Patient Outcomes for Robotic-Arm-Assisted versus Manual Total Knee Arthroplasty","year":2019,"lang":"en","type":"article","venue":"The Journal of Knee Surgery","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cohort; Univariate; Osteoarthritis; Body mass index; Univariate analysis; Physical therapy; Statistical significance; Cohort study; Linear regression; Bayesian multivariate linear regression; Total knee arthroplasty; Stepwise regression; Arthroplasty; Surgery; Multivariate analysis; Multivariate statistics; Internal medicine; Statistics","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":[0.001010837,0.0002547855,0.0006569508,0.0006724377,0.0001901093,0.00056725,0.0002462756,0.0003125828,0.002288912],"category_scores_gemma":[0.003623414,0.0001231599,0.0009806743,0.0004313526,0.000273289,0.0004296408,0.000425247,0.0003560246,0.0002799386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466741,"about_ca_system_score_gemma":0.0001276733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004077746,"about_ca_topic_score_gemma":0.0007451572,"domain_scores_codex":[0.999283,0.0002105846,0.0001066687,0.00009055706,0.0002146461,0.0000946119],"domain_scores_gemma":[0.997475,0.0007668753,0.001193214,0.0001238355,0.0001968712,0.0002441357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01436258,0.001229388,0.9098265,0.0002282699,0.001218959,0.0002716348,0.0003057635,0.001190081,0.003872227,0.00006779424,0.0005937216,0.06683312],"study_design_scores_gemma":[0.0002377558,0.01124716,0.9856677,0.00002101048,0.0002006758,0.0005270085,0.0002130868,0.001037215,0.0005532799,0.00005079296,0.0002145505,0.00002983826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991861,0.000318305,0.0001039976,0.00001168697,0.000009405744,0.000008783236,0.0001172502,0.000004164895,0.0002403503],"genre_scores_gemma":[0.9996698,0.00003950805,0.00005090546,0.00001123156,0.00001027554,0.000008769354,0.0001285332,7.868684e-7,0.00008014574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288912,"threshold_uncertainty_score":0.00765717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856275852096584,"score_gpt":0.2708746926740385,"score_spread":0.2423119341530727,"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."}}