{"id":"W3136695873","doi":"10.1002/art.41735","title":"Association of Machine Learning–Based Predictions of Medial Knee Contact Force With Cartilage Loss Over 2.5 Years in Knee Osteoarthritis","year":2021,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation; Arthritis Society","keywords":"Osteoarthritis; Cartilage; Knee Joint; Gait; Medicine; Tibia; Magnetic resonance imaging; Orthodontics; Physical medicine and rehabilitation; Anatomy; Surgery; Pathology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002481008,0.0004573909,0.0003769464,0.00081687,0.000145238,0.0005446136,0.0003256236,0.000707128,0.0005686518],"category_scores_gemma":[0.01181904,0.0002068143,0.0003742817,0.0002844743,0.0002115055,0.000381936,0.0003776903,0.0005184013,0.0002241585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941591,"about_ca_system_score_gemma":0.000168145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002479173,"about_ca_topic_score_gemma":0.002293192,"domain_scores_codex":[0.9992759,0.0003341361,0.00008980389,0.000110163,0.000124448,0.00006559155],"domain_scores_gemma":[0.9935596,0.004049221,0.001363338,0.0002421164,0.0005898004,0.0001958054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003756383,0.000103222,0.9865344,0.00001380013,0.0001175836,0.00003913619,0.00003546771,0.004228676,0.0003827357,0.00001513566,0.00009572409,0.008058483],"study_design_scores_gemma":[0.00002343243,0.0004022451,0.9013464,0.00001448648,0.00005358983,0.0002660676,0.000106686,0.09698589,0.000471245,0.000150976,0.0001608424,0.0000179935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981097,0.0002197889,0.001359318,0.00003660896,0.000006458032,0.000006084896,0.00009270819,0.00001737968,0.000151927],"genre_scores_gemma":[0.9992654,0.00004346424,0.0004078713,0.000008310592,0.000008039462,0.000005736696,0.0001661002,0.000002487955,0.00009268143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481008,"threshold_uncertainty_score":0.01312101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004163207882006856,"score_gpt":0.2164018271379489,"score_spread":0.212238619255942,"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."}}