{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007940403,0.0002410709,0.0002705351,0.0005240386,0.000194739,0.0004504281,0.0002765413,0.0003495114,0.001217048],"category_scores_gemma":[0.001902469,0.0001904233,0.0004428251,0.0005732141,0.0001748513,0.0003309702,0.000356944,0.0005499141,0.0002217252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493718,"about_ca_system_score_gemma":0.0002622331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637924,"about_ca_topic_score_gemma":0.001764631,"domain_scores_codex":[0.9996296,0.00009127519,0.00004099612,0.00008203318,0.00006558443,0.00009053346],"domain_scores_gemma":[0.9984646,0.0002600164,0.0008209589,0.00009646185,0.0001335873,0.0002244729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006528539,0.000007142137,0.9994217,0.000002402351,0.00002002863,0.00002538813,0.000004555706,0.00002256349,0.00008030922,0.000002765885,0.0000138445,0.0003340886],"study_design_scores_gemma":[0.000002954413,0.0000603374,0.9994449,0.000002854817,0.0000181923,0.0001507848,0.00002593276,0.0002059176,0.00004379854,0.000007888029,0.00003523439,0.000001081512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992454,0.0003246809,0.00006613753,0.00002787724,0.000003661342,0.00000216242,0.0002009308,0.000002994114,0.0001261877],"genre_scores_gemma":[0.9996592,0.00005438769,0.0000332004,0.000005544022,0.000006376531,0.000001682661,0.0001914341,8.248952e-7,0.00004732423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001637924,"threshold_uncertainty_score":0.004199326,"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."}}