{"id":"W1958332057","doi":"10.1186/ar1882","title":"Radiographic joint damage in rheumatoid arthritis is associated with differences in cartilage turnover and can be predicted by serum biomarkers: an evaluation from 1 to 4 years after diagnosis","year":2006,"lang":"en","type":"article","venue":"Arthritis Research & Therapy","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"","keywords":"Aggrecan; Medicine; Biomarker; Cartilage; Type II collagen; Osteoarthritis; Rheumatoid arthritis; Epitope; Cartilage oligomeric matrix protein; Procollagen peptidase; Internal medicine; Proteoglycan; Articular cartilage damage; Rheumatology; Extracellular matrix; Arthritis; Collagenase; Radiography; Pathology; Antibody; Immunology; Surgery; Articular cartilage; Biology; Anatomy; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002228027,0.00036968,0.0007556261,0.001317478,0.0001768552,0.0003516556,0.0002221747,0.0002272899,0.001090316],"category_scores_gemma":[0.0002878972,0.0003419447,0.00008677041,0.00184176,0.0006263318,0.0005149298,0.00008238268,0.0006850864,0.000005225743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278062,"about_ca_system_score_gemma":0.0002832877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01934866,"about_ca_topic_score_gemma":0.1400511,"domain_scores_codex":[0.9935739,0.001435805,0.0006540998,0.0009461074,0.002168821,0.001221246],"domain_scores_gemma":[0.998031,0.0003773601,0.00008240588,0.0005650755,0.0004078652,0.0005362783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290121,0.0008910056,0.8865544,0.00000598346,0.0001311849,0.0004819892,0.00402665,0.000001286888,0.007762326,0.000009396832,0.00325702,0.09558869],"study_design_scores_gemma":[0.01419558,0.002214349,0.9727121,0.002172373,0.000001611317,0.0000192479,0.0008936989,0.0002771597,0.004565284,0.000825459,0.001741469,0.0003816499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575913,0.03553085,0.000002515894,0.002997356,0.00003594622,0.002327432,0.001373919,0.00006964985,0.00007100782],"genre_scores_gemma":[0.8453051,0.1522856,0.00006994513,0.0002907442,0.00003539903,0.001452287,0.0004732597,0.00006705312,0.0000206148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207024,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138535472385477,"score_gpt":0.2908522268671501,"score_spread":0.2594668721432953,"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."}}