{"id":"W2020618120","doi":"10.1002/art.20000","title":"Quantitative magnetic resonance imaging evaluation of knee osteoarthritis progression over two years and correlation with clinical symptoms and radiologic changes","year":2004,"lang":"en","type":"article","venue":"Arthritis & Rheumatism","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":265,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Hôpital Notre-Dame","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Magnetic resonance imaging; Cartilage; Osteoarthritis; Body mass index; Radiography; Knee Joint; Range of motion; Knee pain; Nuclear medicine; Surgery; Radiology; Internal medicine; Pathology; Anatomy","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":[0.0007687719,0.0003054182,0.0002817014,0.000767382,0.0001369914,0.0002615629,0.0002011919,0.0003850726,0.000999543],"category_scores_gemma":[0.003885525,0.00009855697,0.0001880772,0.0002474395,0.0002667745,0.0002406465,0.0002200255,0.0002793014,0.0002406773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457709,"about_ca_system_score_gemma":0.0001106618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005241145,"about_ca_topic_score_gemma":0.0006008515,"domain_scores_codex":[0.9996375,0.0001157266,0.00004068664,0.00005704078,0.0001082955,0.0000408157],"domain_scores_gemma":[0.9978211,0.0004809565,0.0009982982,0.00006848785,0.0003366307,0.0002944984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007648745,0.0001102774,0.9899369,0.00003221584,0.00004626264,0.0001595752,0.0000788019,0.0001171783,0.003452444,0.00001080206,0.00007223852,0.005218407],"study_design_scores_gemma":[0.0000237871,0.0007740465,0.9974826,0.000004346378,0.00001491668,0.0009362825,0.000069967,0.0002534193,0.0003129287,0.000009657734,0.0001130122,0.000005135165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990018,0.0003743317,0.0001919868,0.00001751189,0.00000304444,0.00001240859,0.00007764163,0.000008801872,0.0003124846],"genre_scores_gemma":[0.9993917,0.00005495691,0.0002126641,0.00001149296,0.00000965301,0.00001442352,0.000159422,0.000001202817,0.0001444803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000999543,"threshold_uncertainty_score":0.004065692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026588782340024,"score_gpt":0.3247640133963973,"score_spread":0.304498125572997,"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."}}