{"id":"W2059182890","doi":"10.3899/jrheum.080180","title":"Cartilage and Bone Biomarkers in Rheumatoid Arthritis: Prediction of 10-year Radiographic Progression","year":2009,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Studies on Chitinases and Chitosanases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"EkstraStiftelsen Helse og Rehabilitering (Stiftelsen Dam)","keywords":"Medicine; Interquartile range; Rheumatoid arthritis; Internal medicine; Cartilage; Osteoprotegerin; Cartilage oligomeric matrix protein; Rheumatology; Rheumatoid factor; Gastroenterology; Cohort; Radiography; N-terminal telopeptide; RANKL; Serology; Osteoarthritis; Pathology; Surgery; Immunology; Receptor; Antibody; Osteocalcin; Activator (genetics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003607077,0.00009855648,0.000270679,0.0001118048,0.000052069,0.00000451728,0.0001047822,0.00008624518,0.000007681782],"category_scores_gemma":[0.0001042326,0.0000678505,0.00007565124,0.0001180602,0.0001892034,0.000005279264,0.00003420872,0.00008715129,2.702993e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003630965,"about_ca_system_score_gemma":0.00002923699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449129,"about_ca_topic_score_gemma":0.00007045299,"domain_scores_codex":[0.9990817,0.0001242824,0.0004458033,0.00009365514,0.0001049777,0.0001496093],"domain_scores_gemma":[0.9993933,0.00003515811,0.0003329354,0.000132764,0.00006316512,0.00004269659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003315335,0.0004003354,0.6698869,0.00008296854,0.0003490816,0.0000277211,0.0006167773,0.00003680196,0.2895091,0.0002646479,0.008678539,0.0268317],"study_design_scores_gemma":[0.01654952,0.01392624,0.6571149,0.003033877,0.0001526496,0.02514653,0.008141343,0.0001186014,0.2667664,0.001991313,0.006299539,0.0007590769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714423,0.0279077,0.00003153989,0.0003552749,0.0000875014,0.00007867283,0.000006948888,0.000002740357,0.0000873524],"genre_scores_gemma":[0.9494197,0.05040812,0.0001233543,0.00002639165,0.000009169719,0.000001169779,0.000003866776,0.000005731196,0.00000243651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02607262,"threshold_uncertainty_score":0.2766863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005584200166521129,"score_gpt":0.2291229655022387,"score_spread":0.2235387653357175,"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."}}