{"id":"W4366609951","doi":"10.1136/ard-2022-223808","title":"Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; McGill University Health Centre; University Health Network; University of Toronto; Dalhousie University; University of Manitoba; Toronto Western Hospital; Université Laval; Queen Elizabeth II Health Sciences Centre; University of Calgary","funders":"National Center for Research Resources; Lupus Foundation of America; Canada Research Chairs; Canadian Institutes of Health Research; LUPUS UK; National Institute for Health and Care Research; Versus Arthritis; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Arthritis Society; Sandwell and West Birmingham Hospitals NHS Trust; National Center for Advancing Translational Sciences; Wellcome Trust; National Research Foundation of Korea","keywords":"Medicine; Autoantibody; Disease; Immunology; Systemic disease; Systemic lupus erythematosus; Internal medicine; Antibody","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":[0.001732064,0.0003993381,0.0006060858,0.002191118,0.0005484369,0.001361559,0.0005580795,0.0006606574,0.00164992],"category_scores_gemma":[0.00545104,0.0002021558,0.0007636411,0.001104431,0.0003286873,0.0005959089,0.0007307376,0.0009500821,0.000398585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133624,"about_ca_system_score_gemma":0.000521304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400135,"about_ca_topic_score_gemma":0.002498119,"domain_scores_codex":[0.9991824,0.0002708136,0.00006950084,0.0002228878,0.00008247519,0.0001720384],"domain_scores_gemma":[0.9960387,0.00173058,0.001092195,0.0003888348,0.0003171392,0.0004325789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006396507,0.0002045527,0.9783018,0.00001408641,0.0002208926,0.00008359426,0.00007364269,0.00210178,0.001246466,0.0001894643,0.00081516,0.01610895],"study_design_scores_gemma":[0.00006016875,0.0002733066,0.9261355,0.00002581555,0.0001574338,0.0003915538,0.0003105458,0.06830721,0.0007734343,0.002871504,0.0006663003,0.00002733985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972413,0.000240874,0.001540067,0.0001915505,0.00002346867,0.000009573235,0.0003395057,0.00003415303,0.0003795697],"genre_scores_gemma":[0.9985946,0.00004664241,0.0005915756,0.00003155195,0.00002794111,0.00000619824,0.0005548228,0.000005412108,0.0001412673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400135,"threshold_uncertainty_score":0.009160161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530963562416274,"score_gpt":0.3379266643569032,"score_spread":0.2926170287327405,"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."}}