{"id":"W2179026698","doi":"10.2337/dc15-1111","title":"A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults","year":2015,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":369,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Diabetes UK; National Institute for Health and Care Research; Wellcome Trust; Wellcome","keywords":"Medicine; Type 1 diabetes; Type 2 diabetes; Diabetes mellitus; Internal medicine; Young adult; Single-nucleotide polymorphism; Area under the curve; Endocrinology; Genotype; Genetics; Biology","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":[0.003594249,0.001042086,0.0007112558,0.002371565,0.0002574724,0.0010822,0.0003625026,0.0007994301,0.002031039],"category_scores_gemma":[0.01734293,0.0001749382,0.001057812,0.001562021,0.0003688512,0.0005962248,0.0007740906,0.0007289022,0.000600985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978082,"about_ca_system_score_gemma":0.0003405408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273772,"about_ca_topic_score_gemma":0.004973306,"domain_scores_codex":[0.9979899,0.0008255108,0.0002368008,0.0003664786,0.0004805881,0.000100775],"domain_scores_gemma":[0.9915329,0.003313667,0.003148701,0.0003527287,0.001043223,0.0006087694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006767862,0.00006029314,0.984201,0.00005075497,0.00031908,0.00005151994,0.00004089493,0.0007748215,0.0002994579,0.0000638722,0.0008823813,0.0125791],"study_design_scores_gemma":[0.0001133733,0.0007056933,0.986547,0.00009910334,0.0003058096,0.0004042801,0.00007121936,0.01002419,0.000353164,0.0004139937,0.0009308615,0.00003135423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901118,0.001400396,0.002294835,0.0003750916,0.0001110379,0.00007129344,0.002381281,0.0001196615,0.00313465],"genre_scores_gemma":[0.9939408,0.0003417738,0.003313055,0.0001010957,0.00006389851,0.00002857541,0.001833485,0.00001299281,0.0003643514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003594249,"threshold_uncertainty_score":0.01900846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008540329549249501,"score_gpt":0.2211101552235162,"score_spread":0.2125698256742667,"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."}}