{"id":"W2918230549","doi":"10.1007/s00408-019-00212-9","title":"Screening for Myositis Antibodies in Idiopathic Interstitial Lung Disease","year":2019,"lang":"en","type":"article","venue":"Lung","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Pulmonary Fibrosis Foundation","keywords":"Medicine; Interstitial lung disease; Internal medicine; Myositis; CTD; Lung biopsy; Logistic regression; Connective tissue disease; Retrospective cohort study; Idiopathic pulmonary fibrosis; Univariate analysis; Autoantibody; Biopsy; Disease; Lung; Antibody; Multivariate analysis; Immunology; Autoimmune disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001961655,0.0001570079,0.0003312431,0.0001527163,0.0000709285,0.00003591695,0.00007619309,0.00007466922,0.00009056453],"category_scores_gemma":[0.00006052544,0.0001520716,0.0001440226,0.00009981034,0.00003866587,0.0001749448,0.00005811158,0.0001714797,0.00003175492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007223235,"about_ca_system_score_gemma":0.00006719185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003087702,"about_ca_topic_score_gemma":0.000009701766,"domain_scores_codex":[0.9988829,0.00003023048,0.0002968058,0.0002661842,0.0001788897,0.0003449435],"domain_scores_gemma":[0.9994355,0.00004688801,0.00006364987,0.0002510784,0.00005523355,0.0001476615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001566405,0.00006330578,0.9811813,0.002422522,0.00007042015,0.000936867,0.001116697,0.00007951677,0.002807562,0.003298214,0.003180081,0.003277162],"study_design_scores_gemma":[0.01017521,0.0003263431,0.7776446,0.007461754,0.0003510728,0.0002826008,0.000967761,0.1908016,0.002368336,0.0002788479,0.008454735,0.0008870826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870701,0.002113451,0.00622518,0.0007508968,0.0005985841,0.0009935405,0.00003341536,0.0001000331,0.002114731],"genre_scores_gemma":[0.9975776,0.00003864655,0.0006606487,0.0007779322,0.0003156227,0.00004832735,0.00004616712,0.00003301572,0.0005020396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035366,"threshold_uncertainty_score":0.6201302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009317295996435824,"score_gpt":0.2752138036054248,"score_spread":0.265896507608989,"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."}}