{"id":"W3021999269","doi":"10.3390/coatings10050442","title":"Titanium-Nitride Coating Does Not Result in a Better Clinical Outcome Compared to Conventional Cobalt-Chromium Total Knee Arthroplasty after a Long-Term Follow-Up: A Propensity Score Matching Analysis","year":2020,"lang":"en","type":"article","venue":"Coatings","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Propensity score matching; WOMAC; Cohort; Retrospective cohort study; Osteoarthritis; Titanium nitride; Implant; Coating; Arthroplasty; Surgery; Internal medicine; Nitride; Materials science; Pathology; Composite material","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":[0.002490291,0.0002444042,0.0004955941,0.0006085853,0.0003365621,0.0006768313,0.0003785621,0.0004343779,0.00176244],"category_scores_gemma":[0.004459095,0.0001697095,0.001439239,0.0007187877,0.0003417173,0.0003796311,0.0003471957,0.000329024,0.0001902346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991006,"about_ca_system_score_gemma":0.0003419388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314802,"about_ca_topic_score_gemma":0.0005970366,"domain_scores_codex":[0.9988882,0.0002916539,0.0001913182,0.0003108432,0.0002062416,0.0001116938],"domain_scores_gemma":[0.9959286,0.000878654,0.00208946,0.0005547939,0.0002483341,0.0003001996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004164415,0.0001408407,0.9890974,0.00002757952,0.0008996767,0.000104206,0.00005173474,0.0001591694,0.0008336117,0.00005393848,0.00009396261,0.004373474],"study_design_scores_gemma":[0.0001537415,0.001716955,0.9936527,0.00001151964,0.0008803681,0.0004432759,0.0001194762,0.00217355,0.0003638169,0.0001244209,0.000347879,0.00001219392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991822,0.0002341083,0.0003519088,0.0000188902,0.00001346328,0.000008372649,0.00005842434,0.000002297464,0.0001303511],"genre_scores_gemma":[0.9997653,0.00003330083,0.00005315904,0.000009051048,0.000008012302,0.000004044448,0.0000791791,0.000001061946,0.00004700431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002490291,"threshold_uncertainty_score":0.01317012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.066656254532953,"score_gpt":0.3209433716689258,"score_spread":0.2542871171359729,"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."}}