{"id":"W3161916665","doi":"10.1016/j.jaci.2021.05.002","title":"Neutralizing anti–IL-1 receptor antagonist autoantibodies induce inflammatory and fibrotic mediators in IgG4-related disease","year":2021,"lang":"en","type":"article","venue":"Journal of Allergy and Clinical Immunology","topic":"IgG4-Related and Inflammatory Diseases","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Rheumatology Research Foundation","keywords":"Autoantibody; Immunology; Interleukin 1 receptor antagonist; Proinflammatory cytokine; Antibody; Epitope; Cytokine; Receptor antagonist; Medicine; Biology; Receptor; Inflammation; Internal medicine; Antagonist","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":[],"consensus_categories":[],"category_scores_codex":[0.0005219835,0.0002275796,0.0008299146,0.0002093439,0.0001127338,0.00003450181,0.0001059851,0.000405071,0.0001882028],"category_scores_gemma":[0.001192102,0.0001905864,0.0002418203,0.000182929,0.0006054851,0.000271204,0.0001175705,0.001080351,0.00001377508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660567,"about_ca_system_score_gemma":0.0006216822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005571975,"about_ca_topic_score_gemma":0.00001098582,"domain_scores_codex":[0.9972448,0.0003813078,0.001566972,0.0002942467,0.0001842793,0.0003283737],"domain_scores_gemma":[0.9982148,0.0004276595,0.0005114332,0.0002179631,0.0002282658,0.0003998582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004787582,0.001740142,0.9387339,0.0003208276,0.005385503,0.009426151,0.0008427253,0.00003088916,0.02052677,0.005201823,0.001563917,0.01143971],"study_design_scores_gemma":[0.005189112,0.0006048777,0.9826522,0.0008148779,0.0002843494,0.0005643608,0.0006678136,0.00005524486,0.0006172998,0.000505108,0.007815388,0.000229345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773964,0.0180096,0.000001258404,0.003322399,0.0009902563,0.00009651649,0.000006589496,0.00002309228,0.0001539006],"genre_scores_gemma":[0.9587372,0.04031209,0.00009498588,0.0004233528,0.0002072229,0.000001582816,0.00001748786,0.00002458935,0.0001815005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04391827,"threshold_uncertainty_score":0.7771889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533821969540712,"score_gpt":0.2970198814224398,"score_spread":0.2816816617270327,"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."}}