{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003981988,0.000387504,0.0002160454,0.0006156628,0.0001995656,0.0003304298,0.0001539252,0.0004418919,0.001072029],"category_scores_gemma":[0.001041571,0.0001263962,0.0002119363,0.000327128,0.0001624958,0.0002825312,0.0002669086,0.0003251946,0.0003030956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007611308,"about_ca_system_score_gemma":0.00007727835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005559738,"about_ca_topic_score_gemma":0.0006449755,"domain_scores_codex":[0.9998322,0.00003878065,0.00002261885,0.00004790635,0.00003371848,0.00002471922],"domain_scores_gemma":[0.9993594,0.0001510204,0.0002914655,0.00003500248,0.00006322608,0.00009981934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001714944,0.00003160068,0.9925659,0.00001115189,0.00002448049,0.0001092023,0.00004114453,0.00008280741,0.004715483,0.00001037639,0.000069226,0.002167101],"study_design_scores_gemma":[0.000004502545,0.0001646345,0.9982616,0.000004650799,0.0000185039,0.000640921,0.00006152703,0.0003150383,0.0003986878,0.00001433547,0.000113487,0.000001978312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993829,0.0001547493,0.00009500755,0.00001575359,0.000004238904,0.000003297342,0.00006413591,0.000005158187,0.0002747457],"genre_scores_gemma":[0.9996156,0.00003973163,0.0001550682,0.00001414615,0.000008068091,0.000002612092,0.00008718683,7.769414e-7,0.00007672638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072029,"threshold_uncertainty_score":0.003586233,"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."}}