{"id":"W2103921799","doi":"10.2337/dc12-2553","title":"Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population","year":2013,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Ontario Institute for Cancer Research; McMaster University; Université de Montréal; Population Health Research Institute; University Health Network; Hamilton Health Sciences; McGill University; Hamilton General Hospital","funders":"","keywords":"Medicine; Type 2 diabetes; Diabetes mellitus; Population; Type 1 diabetes; Environmental health; 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":[0.0009584137,0.0003066621,0.0002740308,0.0006487964,0.0003675795,0.000674989,0.0002134235,0.0004230151,0.001150811],"category_scores_gemma":[0.004478354,0.0001845907,0.0003840423,0.000867635,0.0002746586,0.0003645758,0.0004775369,0.0004881991,0.000191768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132332,"about_ca_system_score_gemma":0.000163384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989414,"about_ca_topic_score_gemma":0.002110661,"domain_scores_codex":[0.9995214,0.0002139659,0.00005005693,0.00009907201,0.00008212911,0.00003344925],"domain_scores_gemma":[0.9980356,0.0005473184,0.0009182412,0.0001882859,0.0001195613,0.0001909922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006706051,0.00002221406,0.998376,0.000003413779,0.00008583618,0.00004780771,0.0000294734,0.00007282836,0.0003493097,0.00001272366,0.00002385197,0.0009093996],"study_design_scores_gemma":[0.000009505692,0.00006578259,0.9985332,0.000006446218,0.00006788629,0.0002400797,0.00006139593,0.0007361703,0.00009516872,0.0001025286,0.00007804972,0.000003649449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994203,0.0001167264,0.0001595609,0.0000663516,0.000003750741,0.000001941142,0.00008322403,0.000002633955,0.0001455839],"genre_scores_gemma":[0.9994987,0.00007564235,0.0002060721,0.00001857906,0.00001207781,0.00000213978,0.0001103528,0.000001312987,0.00007502922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001989414,"threshold_uncertainty_score":0.00506866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004291369280958459,"score_gpt":0.204453939250841,"score_spread":0.2001625699698825,"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."}}