{"id":"W4389220103","doi":"10.1093/rheumatology/kead638","title":"Antibody predictors of mortality and lung function trends in myositis spectrum interstitial lung disease","year":2023,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"King's College London","keywords":"Medicine; Interstitial lung disease; Internal medicine; Autoantibody; Univariate analysis; Myositis; Dermatomyositis; Gastroenterology; Proportional hazards model; Pulmonary function testing; Lung; Immunology; Antibody; Multivariate analysis","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":[0.0001758954,0.0001442167,0.0003026279,0.0003401244,0.00005019625,0.00001841959,0.00005058126,0.00008003142,0.0001218363],"category_scores_gemma":[0.00002758392,0.0001408575,0.00009174587,0.0004447348,0.00008841335,0.0001479856,0.00007247963,0.0001539018,0.000008040483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857401,"about_ca_system_score_gemma":0.00003963505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904809,"about_ca_topic_score_gemma":0.00005325172,"domain_scores_codex":[0.9988879,0.00004752904,0.0002929839,0.0002553379,0.0002519559,0.0002642836],"domain_scores_gemma":[0.999455,0.00002646114,0.00007478456,0.0002491444,0.00002538534,0.0001691744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004237576,0.00007650656,0.993314,0.0003040509,0.00009277998,0.0008208173,0.0004577135,0.00001541078,0.001236831,0.0003658741,0.002194331,0.0006978736],"study_design_scores_gemma":[0.00125407,0.0001110638,0.9882077,0.0002243174,0.0001920561,0.00002522794,0.0001151772,0.008946488,0.0002069568,0.00005779625,0.0005356149,0.0001235505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966969,0.0003025847,0.0001812712,0.0004179729,0.000501798,0.0001878359,0.00009222016,0.0001260382,0.001493369],"genre_scores_gemma":[0.9987209,0.0001127011,0.000008082994,0.00009858337,0.0002907182,0.00001345615,0.0004603332,0.00002091735,0.0002743261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008931076,"threshold_uncertainty_score":0.5744004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162061639726629,"score_gpt":0.2868805586886623,"score_spread":0.275259942291396,"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."}}