{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006041282,0.0004466829,0.001137314,0.0003577475,0.0008767568,0.00005833089,0.0003888636,0.000165544,0.002743472],"category_scores_gemma":[0.001493495,0.000513459,0.000646013,0.0005145275,0.0003163397,0.0001520657,0.0006538552,0.0009787093,0.0003105345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534139,"about_ca_system_score_gemma":0.0005387061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006665902,"about_ca_topic_score_gemma":0.0003147422,"domain_scores_codex":[0.9955443,0.0006380811,0.001129617,0.00100467,0.0006591325,0.001024252],"domain_scores_gemma":[0.9973243,0.0003251739,0.0003115216,0.0007036806,0.0001773434,0.001157934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05425857,0.003377963,0.6400209,0.0003237188,0.001372062,0.01449581,0.001919411,0.0003313409,0.0006682534,0.008427759,0.1142748,0.1605294],"study_design_scores_gemma":[0.1019948,0.08839295,0.4378851,0.02825498,0.001918004,0.04124965,0.006113058,0.03386706,0.000499,0.01862028,0.2291612,0.01204392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796591,0.01221414,0.0007328829,0.002309742,0.002021228,0.001095483,0.001084728,0.0004063081,0.0004764335],"genre_scores_gemma":[0.9903929,0.006507662,0.0001874048,0.001630707,0.00008701197,0.0005705043,0.0004038637,0.0001014985,0.0001184987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021358,"threshold_uncertainty_score":0.9997317,"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."}}