{"id":"W4401627923","doi":"10.1093/rheumatology/keae439","title":"Longitudinal analysis of serum urate in prediabetic phase","year":2024,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Brigham and Women's Hospital; Novartis","keywords":"Prediabetes; Medicine; Body mass index; Internal medicine; Longitudinal study; Diabetes mellitus; Demography; Cohort; Type 2 diabetes; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002900555,0.0002267118,0.0004198422,0.0008363932,0.0003841871,0.0005763258,0.0003417738,0.0004161318,0.0006812893],"category_scores_gemma":[0.005525469,0.0002125507,0.0006044472,0.001396787,0.0001270595,0.0004658592,0.0005332507,0.0005850234,0.000173713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150837,"about_ca_system_score_gemma":0.0006323002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007291425,"about_ca_topic_score_gemma":0.005869998,"domain_scores_codex":[0.9990931,0.0003850544,0.00007471635,0.000145114,0.0001447275,0.0001573602],"domain_scores_gemma":[0.996253,0.0005345391,0.001969258,0.0003293548,0.0006063169,0.0003075571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002458172,0.00002528936,0.9976588,0.00001041061,0.0001098547,0.00002824937,0.00004753659,0.0001074353,0.0001649641,0.00002933458,0.00007992305,0.001492245],"study_design_scores_gemma":[0.000008128135,0.0001819004,0.9981779,0.00001127041,0.00005959578,0.0001048771,0.00005726315,0.0009179202,0.0001330649,0.00005183132,0.0002916497,0.000004705446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967604,0.0007640465,0.0007185261,0.00006693508,0.000008045859,0.00001309596,0.001355805,0.00001732771,0.0002958391],"genre_scores_gemma":[0.9982203,0.0001421411,0.0002528821,0.00001886079,0.000006858922,0.00001474373,0.001187904,0.000002756639,0.0001535447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007291425,"threshold_uncertainty_score":0.01533979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217323802019051,"score_gpt":0.3112415352761582,"score_spread":0.2895091550742531,"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."}}