{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008320811,0.0003184528,0.001292616,0.0004822013,0.0001194034,0.00002043566,0.0005666435,0.00006998819,0.0000744638],"category_scores_gemma":[0.004060546,0.0002001318,0.0007429261,0.0008466966,0.0005475219,0.0001595639,0.0004487705,0.0001792513,0.00002945076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003577088,"about_ca_system_score_gemma":0.0003657622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246167,"about_ca_topic_score_gemma":0.00000297715,"domain_scores_codex":[0.9959159,0.0004044985,0.001285,0.0003618015,0.001565756,0.0004669765],"domain_scores_gemma":[0.9960302,0.001088077,0.001000934,0.001004831,0.000584686,0.0002912584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007391209,0.000371021,0.9675646,0.02480156,0.001186771,0.00002765069,0.001804084,0.0007678653,0.0003303606,0.0002406536,0.001861289,0.0003050553],"study_design_scores_gemma":[0.003731499,0.0004722826,0.9057717,0.04668536,0.001424574,0.00101299,0.01143963,0.02432757,0.003087954,0.001614223,0.00001131025,0.0004208506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909525,0.005642825,0.00004724713,0.0007499296,0.0003875935,0.001497179,0.0004375262,0.0001386384,0.0001465473],"genre_scores_gemma":[0.9957955,0.001271597,0.00001567276,0.00001431783,0.00002168196,0.0001009165,0.00007200654,0.00005680447,0.002651525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06179282,"threshold_uncertainty_score":0.8161138,"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."}}