{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009372025,0.0006123675,0.0005782741,0.002465892,0.0006058975,0.0007434241,0.0005762991,0.001570295,0.002017195],"category_scores_gemma":[0.003797055,0.0004039249,0.0005022828,0.0008122703,0.000501257,0.0007986238,0.0003944938,0.0007840994,0.0003654578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003131089,"about_ca_system_score_gemma":0.0003073086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0027199,"about_ca_topic_score_gemma":0.002669095,"domain_scores_codex":[0.9990709,0.0002446952,0.000135066,0.00009014255,0.0002226998,0.0002364449],"domain_scores_gemma":[0.9989201,0.0005309235,0.0001645446,0.00003380313,0.0001495709,0.0002010812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004372281,0.0002020056,0.9780453,0.00006744552,0.00004829527,0.006940824,0.0001407899,0.000104993,0.002280985,0.00008787087,0.0008256279,0.01081855],"study_design_scores_gemma":[0.00003671647,0.0008109172,0.9696001,0.0001314872,0.0001136348,0.0249908,0.0004204615,0.001003789,0.001142835,0.0001746439,0.001561356,0.00001318868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860585,0.004381859,0.0004140216,0.0006960057,0.0001182701,0.00003958883,0.0001983557,0.00003712145,0.008056256],"genre_scores_gemma":[0.9982267,0.0005042459,0.0002626733,0.0002054633,0.00008914043,0.000008568771,0.0001003333,0.000003368696,0.0005994579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027199,"threshold_uncertainty_score":0.006748199,"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."}}