{"id":"W4280604825","doi":"10.1002/art.42162","title":"A Risk Score to Detect Subclinical Rheumatoid Arthritis–Associated Interstitial Lung Disease","year":2022,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Bristol-Myers Squibb Canada; National Institutes of Health; Lilly Deutschland; Institut National de la Santé et de la Recherche Médicale; AbbVie; Galapagos Conservancy; Harvard University; Merck KGaA; Fresenius Biotech; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company","keywords":"Subclinical infection; Medicine; Rheumatoid arthritis; Interstitial lung disease; High-resolution computed tomography; Internal medicine; Disease; Lung","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004549784,0.001555436,0.001012494,0.002523476,0.0003419295,0.0007380529,0.0008350445,0.0007593952,0.0019499],"category_scores_gemma":[0.01271951,0.0002725545,0.001515609,0.001086648,0.0003633616,0.0006545282,0.001089022,0.0007874689,0.0005841405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374482,"about_ca_system_score_gemma":0.0005342542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109528,"about_ca_topic_score_gemma":0.00125872,"domain_scores_codex":[0.9972928,0.001164111,0.0003775185,0.0003932397,0.0006498641,0.0001224652],"domain_scores_gemma":[0.9919309,0.002957714,0.003035218,0.0004393291,0.001178334,0.0004585206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001105344,0.0001592973,0.9799974,0.00008394192,0.0009390811,0.0001155613,0.00005659987,0.001177445,0.001594787,0.0001213903,0.001020711,0.01362853],"study_design_scores_gemma":[0.000611888,0.002087687,0.9713827,0.00007265792,0.0007343034,0.001454563,0.0001157833,0.02055733,0.0009844834,0.0006331818,0.00130425,0.00006127432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874988,0.0007219491,0.007953051,0.000264688,0.00007428554,0.0002356242,0.001652136,0.0001729054,0.001426571],"genre_scores_gemma":[0.9877015,0.0001640074,0.009443557,0.00006679572,0.00005382098,0.0001528255,0.001964531,0.00001480793,0.0004381408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004549784,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927250994181594,"score_gpt":0.2572562955079378,"score_spread":0.2479837855661218,"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."}}