{"id":"W4280518819","doi":"10.21203/rs.3.rs-1646505/v1","title":"Patient-Reported Outcomes following Cemented versus Cementless Primary Total Knee Arthroplasty: A comparative analysis based on propensity score matching","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":"Agency for Healthcare Research and Quality; West Virginia University; University of South Carolina; Northwell Health; Patient-Centered Outcomes Research Institute; Rush University; Virginia Commonwealth University; Johns Hopkins University; Pennsylvania State University; York University; Dartmouth College; Brown University; University of Washington; University of Pennsylvania; Cleveland Clinic","keywords":"Medicine; Propensity score matching; Osteoarthritis; Total knee arthroplasty; Arthroplasty; Oxford knee score; Physical therapy; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01512546,0.000387891,0.001215999,0.00155577,0.0002509725,0.0009014189,0.0006907982,0.0006523843,0.002102277],"category_scores_gemma":[0.03625899,0.0002233714,0.003231507,0.001836072,0.0007286734,0.0009461761,0.0007925489,0.0004589525,0.0001853651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527876,"about_ca_system_score_gemma":0.0005304519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003871029,"about_ca_topic_score_gemma":0.0003044588,"domain_scores_codex":[0.9870442,0.008079204,0.001620084,0.001228845,0.001756948,0.0002706442],"domain_scores_gemma":[0.9721672,0.01509592,0.008936531,0.002274388,0.001025818,0.0005001154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03731482,0.0009251069,0.886268,0.000943865,0.01993266,0.0001496801,0.0003997327,0.003639915,0.001213753,0.00100258,0.0005474043,0.04766243],"study_design_scores_gemma":[0.003070279,0.01741805,0.9510638,0.0002147652,0.007785427,0.0004874229,0.0004880871,0.01512398,0.001125433,0.002105859,0.001029568,0.00008736119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917766,0.002052206,0.004771108,0.0001030937,0.00005552453,0.0002614885,0.0005628635,0.0000123688,0.0004046936],"genre_scores_gemma":[0.9984138,0.0001980295,0.0007836081,0.00003488355,0.00002713849,0.0001303459,0.0003618545,0.000003088724,0.00004719632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01512546,"threshold_uncertainty_score":0.07999206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216535749006298,"score_gpt":0.3904603040064725,"score_spread":0.2688067291058427,"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."}}