{"id":"W4410715507","doi":"10.3899/jrheum.2025-0390.pv029","title":"ANTI-NEUTROPHIL EXTRACELLULAR TRAP ANTIBODIES IN AUTOIMMUNE RHEUMATIC DISEASES: A SUITABLE BIOMARKER OF THROMBOSIS IN SYSTEMIC LUPUS ERYTHEMATOSUS","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neutrophil extracellular traps; Immunology; Biomarker; Thrombosis; Antibody; Autoimmune disease; Systemic disease; Lupus erythematosus; Autoantibody; Immunopathology; Internal medicine; Inflammation","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":[0.0008934673,0.0003511067,0.000353594,0.001451085,0.0001367616,0.000728672,0.0001967223,0.0005281988,0.0030729],"category_scores_gemma":[0.001405841,0.0001302895,0.000198693,0.0008456986,0.0001665071,0.0003518069,0.0002471165,0.0003720508,0.0005514289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247797,"about_ca_system_score_gemma":0.0001570448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001290306,"about_ca_topic_score_gemma":0.0001609402,"domain_scores_codex":[0.9994149,0.0002315056,0.00006678612,0.00008204248,0.00015272,0.00005193318],"domain_scores_gemma":[0.9991589,0.0003304932,0.0002958081,0.00002518263,0.0001022555,0.0000873457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008343095,0.0001244551,0.9543757,0.0002961799,0.0001070285,0.0005286692,0.00008333266,0.0001286113,0.008814023,0.0001648831,0.0006994811,0.03384335],"study_design_scores_gemma":[0.00003372596,0.0009727617,0.9838118,0.0001352733,0.0001977281,0.006400017,0.0002127732,0.001418017,0.003003041,0.0003267774,0.003473543,0.00001453848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734585,0.02053779,0.001871631,0.0003484642,0.0000965857,0.00003921426,0.0005944681,0.00002977309,0.003023692],"genre_scores_gemma":[0.9965217,0.001534079,0.001032552,0.00005428487,0.0001119584,0.00001888608,0.0001977664,0.000002678429,0.0005261438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0030729,"threshold_uncertainty_score":0.01027983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416864974324638,"score_gpt":0.2514681802241957,"score_spread":0.2372995304809493,"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."}}