{"id":"W2898642902","doi":"10.3899/jrheum.170896","title":"High Incidence of Arterial and Venous Thrombosis in Antineutrophil Cytoplasmic Antibody–associated Vasculitis","year":2018,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research; Imperial College Healthcare NHS Trust; Imperial College London; Imperial College Healthcare Charity; Wellcome Trust","keywords":"Medicine; Stroke (engine); Internal medicine; Pulmonary embolism; Incidence (geometry); Vasculitis; Venous thrombosis; Thrombosis; Population; Cardiology; Coronary artery disease; Vascular disease; Surgery; Disease","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":[0.0004490985,0.00009513399,0.0006047222,0.0001647728,0.00007211685,0.000004928113,0.0001127158,0.0001348484,0.00009653014],"category_scores_gemma":[0.0001990927,0.00006116727,0.00008474147,0.0002001962,0.0004273993,0.00006621895,0.00003563156,0.0002849214,0.000007331023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002786431,"about_ca_system_score_gemma":0.0001128226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004923084,"about_ca_topic_score_gemma":0.0001096554,"domain_scores_codex":[0.9988325,0.0001744667,0.0005712563,0.00007831305,0.0001593527,0.000184068],"domain_scores_gemma":[0.9989762,0.0001627447,0.000432725,0.0001447013,0.0002261574,0.00005743707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001195199,0.001255087,0.850346,0.0002027582,0.002073316,0.0002410799,0.008100724,0.00004006096,0.1295553,0.004045006,0.001568794,0.001376707],"study_design_scores_gemma":[0.006569003,0.002225375,0.9654244,0.001086209,0.000434271,0.01961466,0.0003813717,0.00008998263,0.001866572,0.002122443,0.00006954638,0.0001161869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971852,0.0004092816,0.000048111,0.001766228,0.0004291153,0.00008838408,0.000006803375,0.000006220019,0.00006069533],"genre_scores_gemma":[0.9951814,0.004594888,0.0001158369,0.00005923174,0.00002733408,5.311537e-7,0.000003763955,0.000009753383,0.000007304438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276887,"threshold_uncertainty_score":0.2494329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008923751697919514,"score_gpt":0.2620472916849017,"score_spread":0.2531235399869822,"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."}}