{"id":"W3173204822","doi":"10.1093/rheumatology/keab501","title":"Serological abnormalities that predict progression to systemic autoimmune rheumatic diseases in antinuclear antibody–positive individuals","year":2021,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Anti-nuclear antibody; Serology; Immunology; Autoantibody; Rheumatology; Antibody; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007979533,0.0003129054,0.0009659377,0.0003051331,0.000124105,0.0001214281,0.0002984566,0.0002429313,0.0002329703],"category_scores_gemma":[0.0007334427,0.0002457192,0.0001628337,0.0006637825,0.0001254706,0.0002044411,0.000465561,0.0004153619,0.0002420712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211544,"about_ca_system_score_gemma":0.0003169097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006813214,"about_ca_topic_score_gemma":0.000007732138,"domain_scores_codex":[0.9961765,0.0006181197,0.0006771323,0.000615529,0.001140079,0.0007726309],"domain_scores_gemma":[0.9981954,0.0003854099,0.0001504017,0.000710695,0.0002152675,0.0003428164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002816997,0.0004324314,0.9819164,0.002114093,0.0001706983,0.001445555,0.00409743,0.00001110379,0.007437949,0.0002100959,0.0008003419,0.001082255],"study_design_scores_gemma":[0.003618051,0.0006189693,0.9561349,0.01786736,0.0001338691,0.0104216,0.006903226,0.0004294632,0.002804059,0.00008567337,0.0005786979,0.0004041349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990571,0.004610924,0.00006117719,0.0009749398,0.0002064385,0.001614708,0.000105642,0.0002284572,0.001626757],"genre_scores_gemma":[0.9972712,0.0003486981,0.0005111027,0.0002807438,0.0001033922,0.0001736668,0.0002547961,0.00005897905,0.0009973531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02578145,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392747041972555,"score_gpt":0.323518359592212,"score_spread":0.2995908891724864,"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."}}