{"id":"W2154688683","doi":"10.4161/epi.25578","title":"Gestational diabetes mellitus epigenetically affects genes predominantly involved in metabolic diseases","year":2013,"lang":"en","type":"article","venue":"Epigenetics","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Chicoutimi; McGill University and Génome Québec Innovation Centre; Cégep de Chicoutimi; Genome Canada; Aluminium Refining, Degassing and Filtering (Canada); Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Gestational diabetes; Offspring; Placenta; Epigenetics; Biology; Cord blood; Pregnancy; DNA methylation; Diabetes mellitus; Epigenomics; Bioinformatics; Umbilical cord; Gene; Physiology; Fetus; Andrology; Internal medicine; Endocrinology; Genetics; Gestation; Medicine; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316049,0.0002103679,0.0002236847,0.0002846813,0.0001318779,0.0002837167,0.0001074605,0.0001757327,0.001584803],"category_scores_gemma":[0.0004061313,0.0001133988,0.0003030491,0.0004235364,0.0001501332,0.0001052852,0.0002489801,0.0001978975,0.0001537268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773143,"about_ca_system_score_gemma":0.0001696974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624204,"about_ca_topic_score_gemma":0.001945005,"domain_scores_codex":[0.9998366,0.00002892216,0.000009334919,0.00006871021,0.00002536918,0.00003108333],"domain_scores_gemma":[0.9998521,0.00003819369,0.0000678131,0.00001545549,0.00001093166,0.00001551247],"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":[0.00196226,0.00007373854,0.3584073,0.0003267932,0.0005180664,0.0007777339,0.0002994396,0.000372883,0.5930871,0.0005517742,0.0004577459,0.04316503],"study_design_scores_gemma":[0.00001444436,0.0001229876,0.9804074,0.00002486961,0.0001973162,0.0005947831,0.0001162935,0.0003714712,0.01642086,0.000329632,0.001392826,0.000007159714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931096,0.003136582,0.001135706,0.0001527171,0.00002236268,0.000008167198,0.001044949,0.00003069898,0.001359194],"genre_scores_gemma":[0.9954292,0.001848672,0.001051347,0.0001184839,0.0000124037,0.00001438941,0.0006817323,0.00001018416,0.0008335388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001624204,"threshold_uncertainty_score":0.005301654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275337868456927,"score_gpt":0.2632945437148553,"score_spread":0.250541165030286,"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."}}