{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001883247,0.0003338237,0.0003631976,0.0001244328,0.00009261169,0.0000810449,0.0002410105,0.0002953287,0.000008138094],"category_scores_gemma":[0.0006563195,0.0003306793,0.00006480921,0.0004880016,0.0001143237,0.00001728027,0.0001865473,0.000196459,0.0000276037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006283046,"about_ca_system_score_gemma":0.0001323335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050509,"about_ca_topic_score_gemma":0.0008665059,"domain_scores_codex":[0.9980619,0.0001411213,0.0003102608,0.0005838447,0.0002282052,0.0006746745],"domain_scores_gemma":[0.9987065,0.00003756698,0.0001605247,0.0003618672,0.0004998022,0.0002337001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001768376,0.0000343486,0.9844279,0.00008912622,0.0000846089,7.365665e-7,0.0005669619,0.00004060265,0.003436947,0.000002589725,0.0008143244,0.01048413],"study_design_scores_gemma":[0.001555651,0.001183592,0.9770018,0.0001717158,0.0001577611,1.053374e-7,0.001894017,0.000263128,0.01481349,0.0001979035,0.002113744,0.0006471034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883733,0.01016944,4.138487e-7,0.00007046296,0.000401339,0.0003160677,0.0002160815,0.00003515993,0.0004177775],"genre_scores_gemma":[0.9970472,0.0005131558,0.0001248239,0.0001343308,0.0002203502,0.00002888369,0.001806981,0.00006556989,0.00005871651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137655,"threshold_uncertainty_score":0.9999145,"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."}}