{"id":"W4281563464","doi":"10.3390/biomedicines10061247","title":"A Machine Learning Model to Predict Knee Osteoarthritis Cartilage Volume Changes over Time Using Baseline Bone Curvature","year":2022,"lang":"en","type":"article","venue":"Biomedicines","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"PerkinElmer Biosignal; Université de Montréal","funders":"GlaxoSmithKline; Novartis Pharmaceuticals Corporation; Pfizer; National Institutes of Health; U.S. Department of Health and Human Services; Foundation for the National Institutes of Health","keywords":"Osteoarthritis; Cartilage; Medicine; Magnetic resonance imaging; Body mass index; Knee Joint; Surgery; Internal medicine; Pathology; Anatomy; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002312741,0.000648558,0.0007663654,0.0009962042,0.0002718885,0.0006686727,0.0007260691,0.0007773438,0.001171064],"category_scores_gemma":[0.003900436,0.0002484744,0.0008770967,0.0004840442,0.0002384144,0.0003116528,0.000407577,0.0008065192,0.0003725601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556857,"about_ca_system_score_gemma":0.0008490712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011075,"about_ca_topic_score_gemma":0.006397998,"domain_scores_codex":[0.9996364,0.0001541888,0.00003007378,0.00008877985,0.00004211719,0.00004850674],"domain_scores_gemma":[0.9982324,0.001251969,0.0001615525,0.00005830027,0.0002277872,0.00006800254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008134619,0.0006283968,0.146442,0.00008020821,0.000425498,0.0002118946,0.00009879759,0.7382035,0.002622657,0.0006975581,0.002040304,0.1077358],"study_design_scores_gemma":[0.00001568857,0.0001020314,0.005814386,0.000008599831,0.00002145394,0.0000328292,0.000007290164,0.9934175,0.0001312513,0.0003150968,0.0001261737,0.000007598356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747308,0.001460544,0.2457996,0.001017716,0.0001687414,0.000209998,0.001421583,0.0008483859,0.001765445],"genre_scores_gemma":[0.9786477,0.0002075222,0.01880299,0.0001048733,0.00005779281,0.0001861622,0.0007233671,0.00001672462,0.001252829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011075,"threshold_uncertainty_score":0.02202106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566323861920654,"score_gpt":0.247712669325044,"score_spread":0.2320494307058375,"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."}}