{"id":"W4410698892","doi":"10.3899/jrheum.2025-0390.o032","title":"MACHINE LEARNING CAN IDENTIFY AN ANTINUCLEAR ANTIBODY PATTERN THAT MAY RULE OUT SYSTEMIC AUTOIMMUNE RHEUMATIC DISEASES","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université Laval; University of Toronto; Dalhousie University; Krembil Foundation; McGill University; University of Calgary","funders":"","keywords":"Medicine; Anti-nuclear antibody; Immunology; Autoimmune disease; Systemic disease; Antibody; Immunopathology; Autoantibody","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001284407,0.000381069,0.0004887599,0.001988196,0.0002482509,0.0009407937,0.0003335801,0.000610803,0.003404203],"category_scores_gemma":[0.004743061,0.0001344845,0.0003672852,0.0007475324,0.0002340968,0.0004875438,0.0003437076,0.000458143,0.001302236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443292,"about_ca_system_score_gemma":0.0002571307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982976,"about_ca_topic_score_gemma":0.003629363,"domain_scores_codex":[0.9994647,0.0001649179,0.00005874809,0.0001107744,0.0001110956,0.00008981075],"domain_scores_gemma":[0.9979187,0.001027658,0.0004777886,0.0001324001,0.000326681,0.000116849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004348376,0.0001725367,0.8994027,0.00008321184,0.0001165478,0.0002865233,0.00003826637,0.002328112,0.005310566,0.0001632383,0.004406146,0.08725721],"study_design_scores_gemma":[0.00005784119,0.0003066269,0.8883294,0.0001637461,0.0001530828,0.001856474,0.0002621294,0.09744024,0.004551379,0.002241331,0.004607368,0.00003032357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698996,0.003541793,0.01220607,0.001235562,0.0001516194,0.00008514327,0.002572866,0.0003977004,0.009909796],"genre_scores_gemma":[0.9895685,0.0005339397,0.007464509,0.0002176746,0.0001055482,0.00002678265,0.00139193,0.0000152362,0.0006757879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003404203,"threshold_uncertainty_score":0.01138818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138337051112314,"score_gpt":0.3330070256402139,"score_spread":0.3116236551290907,"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."}}