{"id":"W4404049144","doi":"10.1002/art.43051","title":"Characterization of Incident Interstitial Lung Disease in Late Systemic Sclerosis","year":2024,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Southlake Regional Health Center; Western University; McMaster University; University of Alberta; McGill University; Centre Hospitalier de l’Université de Montréal; University of Calgary; McGill University Health Centre","funders":"","keywords":"Medicine; Interstitial lung disease; Internal medicine; DLCO; Polymyositis; Incidence (geometry); Cohort; Proportional hazards model; Hazard ratio; Autoantibody; Scleroderma (fungus); Rheumatoid arthritis; Gastroenterology; Lung; Diffusing capacity; Pathology; Immunology; Antibody; Lung function","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001208229,0.0002599551,0.000264127,0.0007407908,0.0002551832,0.0005993773,0.0004533793,0.0003392542,0.00127993],"category_scores_gemma":[0.002529409,0.0001309831,0.0002792533,0.000686523,0.0002223292,0.0003140185,0.0003317065,0.000423688,0.0001735261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836199,"about_ca_system_score_gemma":0.0004628616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006132309,"about_ca_topic_score_gemma":0.008338234,"domain_scores_codex":[0.999494,0.00009591855,0.0000519579,0.0000987143,0.0001641799,0.00009527217],"domain_scores_gemma":[0.997918,0.0002961033,0.0011323,0.00009304279,0.0003064086,0.0002541693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005253539,0.000006774886,0.9989625,0.000006869077,0.00001120705,0.00003894007,0.00001687786,0.00002823394,0.0001657078,0.00000535981,0.00002208079,0.0006829292],"study_design_scores_gemma":[0.000003364427,0.00006050314,0.9990507,0.000006867778,0.00001371518,0.0004503937,0.00004580849,0.0001617305,0.00008285468,0.00001155711,0.0001107217,0.000001730832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988121,0.000321652,0.0002643169,0.00001672902,0.000003373386,0.000007459508,0.0002879022,0.00000601171,0.0002805469],"genre_scores_gemma":[0.9993222,0.0000624483,0.0001161339,0.00000640681,0.000005486059,0.000004386705,0.000402853,0.000001406678,0.00007858931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006132309,"threshold_uncertainty_score":0.0121932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089374313745688,"score_gpt":0.238763189486955,"score_spread":0.2278694463494981,"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."}}