{"id":"W4410715560","doi":"10.3899/jrheum.2025-0390.pv027","title":"PREDICTION OF SLE FLARES BY MEASURING AUTOANTIBODY DYNAMICS: A NOVEL APPROACH FOR EARLY DETECTION AND MONITORING","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Autoantibody; Immunopathology; Internal medicine; Immunology; Antibody","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007788044,0.0007209548,0.001008368,0.001484484,0.0001456323,0.0009333129,0.0003688906,0.000660619,0.00101645],"category_scores_gemma":[0.001403096,0.0003378259,0.0003992361,0.0008372946,0.0002067154,0.0004605754,0.0004269866,0.0007031524,0.0007553534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763539,"about_ca_system_score_gemma":0.0003095126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004945099,"about_ca_topic_score_gemma":0.0007694946,"domain_scores_codex":[0.9995766,0.0001125408,0.00002827491,0.0001419252,0.0001085081,0.00003216974],"domain_scores_gemma":[0.9993513,0.0002059661,0.0002208992,0.00004471741,0.0001218342,0.00005519652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001803294,0.000869076,0.2921796,0.0004802154,0.0004595371,0.0003539667,0.0001702377,0.01007699,0.1899945,0.0007304388,0.003031752,0.4998503],"study_design_scores_gemma":[0.0002890241,0.004385987,0.3988483,0.0001994444,0.0009490746,0.004282106,0.0002632011,0.4895032,0.08475564,0.003336556,0.01291141,0.0002760492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6969247,0.01218856,0.2814884,0.0007829255,0.0003425793,0.0002929063,0.002023794,0.001404141,0.00455193],"genre_scores_gemma":[0.8593141,0.002914699,0.1345594,0.0001661354,0.0002559887,0.0002019495,0.0007947256,0.00004062399,0.001752416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484484,"threshold_uncertainty_score":0.0041188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904345314971315,"score_gpt":0.2550968120135357,"score_spread":0.2360533588638225,"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."}}