{"id":"W4416412218","doi":"10.1093/rheumatology/keaf610","title":"Predictors of damage accrual by organ domain in systemic lupus erythematosus","year":2025,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthritis Research Centre of Canada","funders":"National Health Insurance Administration; Pfizer Japan; Bristol-Myers Squibb Canada; Genentech; Mitsubishi Tanabe Pharma Corporation; Otsuka Pharmaceutical; Chugai Pharmaceutical; National Yang-Ming University; Astellas Pharma; Eisai; Amgen; National Research Foundation; Arthritis Australia; Union Chimique Belge; Recordati Rare Diseases; Sanofi; Kowa Company; Taiho Pharmaceutical; Bristol-Myers Squibb; Eli Lilly and Company; National Health and Medical Research Council; AstraZeneca; CSL Behring; Pfizer; Biogen; Medical Research Council; National Research Foundation of Korea; Daiichi Sankyo Europe; Gilead Sciences; Taichung Veterans General Hospital","keywords":"Domain (mathematical analysis); Accrual; Lupus erythematosus; Connective tissue disease; Diabetes mellitus","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":[0.001717275,0.0003835957,0.0003444134,0.0009504691,0.000314713,0.0006401836,0.0004008355,0.0004314299,0.002380637],"category_scores_gemma":[0.005899296,0.0002540568,0.0007062548,0.001374195,0.0003095781,0.000676643,0.0008379475,0.001005372,0.0003042012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380825,"about_ca_system_score_gemma":0.0003282577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921403,"about_ca_topic_score_gemma":0.002224804,"domain_scores_codex":[0.9991121,0.0002827564,0.000161543,0.0001754269,0.000153454,0.0001148711],"domain_scores_gemma":[0.993688,0.001206507,0.00387803,0.0002698492,0.0003539705,0.0006036435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005498406,0.000007616448,0.9991704,0.000004960364,0.00002004014,0.00001900726,0.00001325613,0.00008555301,0.00003361861,0.000003731905,0.00002797832,0.0005589179],"study_design_scores_gemma":[0.00000429364,0.00008049635,0.9990181,0.00001024676,0.00002250932,0.0002536659,0.000052853,0.0003917572,0.00004334045,0.00003079697,0.00008866774,0.000003213427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986284,0.0005312191,0.0001339562,0.00006071937,0.000004605766,0.000005808319,0.0003526577,0.000006034566,0.0002765172],"genre_scores_gemma":[0.9994916,0.00007125719,0.00007519854,0.000009322056,0.000007144633,0.000003868827,0.0002648711,0.000001213966,0.00007549018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002380637,"threshold_uncertainty_score":0.0090819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084953381545155,"score_gpt":0.2786430624559303,"score_spread":0.2677935286404787,"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."}}