{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348163,0.0001991186,0.0009463016,0.0002490879,0.00004660765,0.000008289925,0.00005704653,0.0002331361,0.0006910005],"category_scores_gemma":[0.0008572325,0.0002149567,0.000153843,0.0004352336,0.0001874099,0.0001388307,0.00005297041,0.0003904402,0.00001971059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056952,"about_ca_system_score_gemma":0.000348635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421645,"about_ca_topic_score_gemma":0.01290858,"domain_scores_codex":[0.9978502,0.0002184741,0.0007443476,0.0003407425,0.0004372468,0.0004089394],"domain_scores_gemma":[0.99841,0.0005442719,0.0003875607,0.0003026969,0.0002338726,0.0001215545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004273331,0.0002218481,0.9906343,0.0001006931,0.0000916089,0.0004860531,0.0006134263,0.0001826168,0.003475559,0.0003568145,0.000119666,0.003290114],"study_design_scores_gemma":[0.03446026,0.004337387,0.9419136,0.001571301,0.0001421155,0.00144929,0.0004596541,0.0006744828,0.01155299,0.00008497063,0.002990056,0.0003638678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962558,0.001682154,0.0001142129,0.0006089181,0.000298979,0.0003519439,0.0001123113,0.00006744034,0.0005082038],"genre_scores_gemma":[0.9985295,0.0003264768,0.0003520836,0.0000878777,0.00001594249,0.00004022565,0.0001514156,0.0000408214,0.0004556503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04872063,"threshold_uncertainty_score":0.8765678,"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."}}