{"id":"W2141770478","doi":"10.2337/db13-1663","title":"Polygenic Type 2 Diabetes Prediction at the Limit of Common Variant Detection","year":2014,"lang":"en","type":"article","venue":"Diabetes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Type 2 diabetes; Limit (mathematics); Type (biology); Type I and type II errors; Genetics; Diabetes mellitus; Medicine; Statistics; Biology; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278428,0.00008792448,0.0001387221,0.000021515,0.0001103686,0.000005466971,0.0001100646,0.0001353318,0.00001592657],"category_scores_gemma":[0.0003151673,0.00006546033,0.00007062294,0.00007780385,0.00007245927,0.000001662395,0.00008232915,0.00005321803,0.00001547328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001442383,"about_ca_system_score_gemma":0.00001150231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001248915,"about_ca_topic_score_gemma":0.00004789631,"domain_scores_codex":[0.9991957,0.0001779573,0.000196174,0.0001694249,0.00006310489,0.000197653],"domain_scores_gemma":[0.9994212,0.00008586748,0.0001273897,0.0002687951,0.00006550324,0.00003125148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006839296,0.00002763133,0.2867779,0.000008762243,0.00007425106,1.740961e-8,0.00002153051,0.0001616896,0.7040899,0.00002415977,0.001254438,0.00755287],"study_design_scores_gemma":[0.0002186836,0.0005512909,0.5507618,0.000006501253,0.0000584673,6.267518e-7,0.00001506438,0.002877079,0.4305621,0.0004783791,0.01436124,0.0001088286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981037,0.0005730162,0.0001482643,0.0002392362,0.0002861689,0.00009005883,0.00001723415,0.000009892294,0.000532387],"genre_scores_gemma":[0.9989927,0.00009649376,0.00007425966,0.0002414852,0.0001987114,0.0000173482,0.0001095468,0.00001145833,0.000257931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2735279,"threshold_uncertainty_score":0.2669395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006874601967512519,"score_gpt":0.2141017405275873,"score_spread":0.2072271385600748,"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."}}