{"id":"W2461522970","doi":"10.2337/db15-1720","title":"A Predictive Metabolic Signature for the Transition From Gestational Diabetes Mellitus to Type 2 Diabetes","year":2016,"lang":"en","type":"article","venue":"Diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Banting and Best Diabetes Centre, University of Toronto; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Danish Diabetes Academy; W.K. Kellogg Foundation; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Diabetes Association; National Center for Research Resources; American Diabetes Association","keywords":"Gestational diabetes; Diabetes mellitus; Medicine; Type 2 diabetes; Internal medicine; Type 2 Diabetes Mellitus; Endocrinology; Pregnancy; Gestation; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003757905,0.0002509201,0.0003523423,0.0001851249,0.0001731975,0.00006050333,0.0002045105,0.00009977245,0.0004891155],"category_scores_gemma":[0.000888274,0.00014284,0.0001750296,0.0003611422,0.0001376692,0.0002026843,0.00005416324,0.0001377278,0.0001677868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006903752,"about_ca_system_score_gemma":0.0001044978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007680878,"about_ca_topic_score_gemma":0.000004732033,"domain_scores_codex":[0.9978637,0.00008241327,0.0002755697,0.0004703793,0.0006067588,0.0007011869],"domain_scores_gemma":[0.9965932,0.002172028,0.00006676261,0.0003415007,0.0005334028,0.0002931504],"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":[0.0006533279,0.0006758679,0.0447949,0.0004654196,0.003767273,0.000004399776,0.001230892,0.0005494215,0.5559272,0.004910056,0.08122108,0.3058001],"study_design_scores_gemma":[0.004356878,0.002009457,0.565465,0.0005999283,0.001026556,1.087384e-7,0.000293079,0.004705722,0.2609069,0.01742376,0.1425779,0.0006347854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963643,0.007930774,0.002136896,0.02203821,0.0003235132,0.002046122,0.001580572,0.000108011,0.0001929538],"genre_scores_gemma":[0.9905025,0.0003558509,0.001751693,0.004146359,0.000516117,0.00116518,0.0007575197,0.00005137332,0.0007534217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206701,"threshold_uncertainty_score":0.5824846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281105800135226,"score_gpt":0.2635663365022012,"score_spread":0.250755278500849,"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."}}