{"id":"W4409696872","doi":"10.1210/clinem/dgaf250","title":"Development and Validation of a Diabetes Risk Prediction Model With Individualized Preventive Intervention Effects","year":2025,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Bristol-Myers Squibb Canada; Centers for Disease Control and Prevention; Office of Research on Women's Health; Parke-Davis; National Institute on Aging; National Institute of Child Health and Human Development; Deutsches Krebsforschungszentrum; Bristol-Myers Squibb; American Diabetes Association; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Medicine; Body mass index; Prediabetes; Diabetes mellitus; Confidence interval; Glycated hemoglobin; Metformin; Type 2 diabetes; Internal medicine; Proportional hazards model; Framingham Risk Score; Hazard ratio; Endocrinology; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01435279,0.0009881628,0.0009738819,0.0009400451,0.0004479693,0.001142517,0.001216108,0.0007206784,0.001008328],"category_scores_gemma":[0.02705667,0.0004863713,0.001186067,0.0006408329,0.0003191178,0.0006029969,0.0009697303,0.001372078,0.0003223314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009283141,"about_ca_system_score_gemma":0.002537803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009638785,"about_ca_topic_score_gemma":0.005159948,"domain_scores_codex":[0.99655,0.002204293,0.0001904914,0.0005255003,0.0004094088,0.0001203631],"domain_scores_gemma":[0.9828485,0.01331877,0.0008834515,0.000723257,0.001998668,0.000227288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001844171,0.001478556,0.3473297,0.0001848558,0.001347461,0.0002758402,0.0003484154,0.4592333,0.0017851,0.002239484,0.004170676,0.1797625],"study_design_scores_gemma":[0.0002105105,0.0003082103,0.02002557,0.00004897059,0.0002136737,0.0000634091,0.00003469182,0.9765277,0.000713231,0.0012801,0.0005476248,0.00002635034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.664494,0.0003482589,0.3279663,0.0009281617,0.00008617678,0.0007558913,0.001934806,0.001238774,0.00224758],"genre_scores_gemma":[0.8656178,0.0001354673,0.1309415,0.0001863875,0.00003344514,0.0006271231,0.001923009,0.00004910082,0.0004862211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435279,"threshold_uncertainty_score":0.07590574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189982779432467,"score_gpt":0.3254100027325756,"score_spread":0.3064117247893289,"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."}}