{"id":"W1977108229","doi":"10.3899/jrheum.090188","title":"Autoantibodies and the Risk of Cardiovascular Events","year":2009,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Mayo Clinic","keywords":"Medicine; Internal medicine; Rheumatoid factor; Rheumatoid arthritis; Hazard ratio; Autoantibody; Myocardial infarction; Population; Cohort; Proportional hazards model; Anti-nuclear antibody; Cardiology; Immunology; Antibody; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006890144,0.0003223504,0.0002364195,0.0004793975,0.0002098457,0.0004503201,0.0002060774,0.0004595912,0.001683781],"category_scores_gemma":[0.00255759,0.0001962633,0.0003560912,0.0005206661,0.0001749799,0.0001679066,0.0002698666,0.000679361,0.0002484278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957286,"about_ca_system_score_gemma":0.0002303327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092394,"about_ca_topic_score_gemma":0.001903052,"domain_scores_codex":[0.9994872,0.0002029144,0.00003843581,0.00008814605,0.0001018172,0.00008135262],"domain_scores_gemma":[0.9978295,0.0004182533,0.001177814,0.00007909545,0.0001816112,0.0003136985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001632746,0.00003433321,0.9978324,0.00001333133,0.0001266953,0.00005268074,0.000009323114,0.0000916834,0.0001467376,0.00001067693,0.000108419,0.001410623],"study_design_scores_gemma":[0.0000114596,0.00008502486,0.9989472,0.00001209344,0.00006234497,0.0002831868,0.00001220729,0.000330431,0.00005428814,0.00004029146,0.0001588445,0.000002545481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955005,0.002901303,0.0001595556,0.0002097867,0.00002107843,0.000006219622,0.0003738775,0.00001175436,0.0008159292],"genre_scores_gemma":[0.9991062,0.0003926852,0.0001133159,0.00003043619,0.00004237406,0.000003871841,0.0001748703,0.000001164082,0.0001349822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002092394,"threshold_uncertainty_score":0.005632758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290530442042903,"score_gpt":0.2530779341758298,"score_spread":0.2447874037337869,"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."}}