{"id":"W4281757547","doi":"10.3389/fendo.2022.875180","title":"Genome-Wide Placental Gene Methylations in Gestational Diabetes Mellitus, Fetal Growth and Metabolic Health Biomarkers in Cord Blood","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Population Health Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Science and Technology Commission of Shanghai Municipality; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Gestational diabetes; Epigenome; Biology; Cord blood; Pregnancy; DNA methylation; Offspring; Epigenetics; Internal medicine; Placenta; Endocrinology; Fetus; Bioinformatics; Medicine; Genetics; Gene; Gestation; 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":[0.0002348851,0.0001663633,0.0001599813,0.0004616613,0.0001292662,0.000278696,0.0001261927,0.0001326812,0.001364819],"category_scores_gemma":[0.00061926,0.0001195144,0.0001591715,0.0006356115,0.0001321178,0.00005825515,0.0001893986,0.0001865387,0.00009793201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216783,"about_ca_system_score_gemma":0.0001588955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007179414,"about_ca_topic_score_gemma":0.005807651,"domain_scores_codex":[0.9998721,0.00002632833,0.000008580718,0.00005171392,0.00002372712,0.000017607],"domain_scores_gemma":[0.9998217,0.00004112818,0.00006758496,0.00002137018,0.00002095582,0.00002719605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008642051,0.00001712783,0.948728,0.00005526402,0.0001342891,0.000279994,0.0001734058,0.0002142559,0.03636494,0.00009737507,0.0002175722,0.01285358],"study_design_scores_gemma":[0.000004811468,0.0000277773,0.9969155,0.000003051812,0.00004056037,0.0002679991,0.00002278133,0.0002162105,0.002222309,0.00003419349,0.0002432755,0.000001476976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984311,0.0005484305,0.0003108183,0.00001872607,0.000002819142,0.000002682471,0.0003929966,0.000009248479,0.0002831056],"genre_scores_gemma":[0.9988062,0.0001963785,0.0002894276,0.00001322068,0.000002348864,0.000004467608,0.0003604433,0.000003186072,0.000324171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007179414,"threshold_uncertainty_score":0.01427525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226766617332473,"score_gpt":0.266087650604347,"score_spread":0.2538199844310222,"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."}}