{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367496,0.0001510122,0.0004113225,0.001433948,0.0000941758,0.000009850495,0.0001237352,0.00002960816,0.00007837418],"category_scores_gemma":[0.0001767909,0.0001719194,0.00004207201,0.0006546477,0.0001524884,0.00008696137,0.0001968207,0.0003792674,0.000002032786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538538,"about_ca_system_score_gemma":0.0002082236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003560781,"about_ca_topic_score_gemma":0.0001857911,"domain_scores_codex":[0.9977702,0.0003719699,0.0004137679,0.0003990392,0.0003178624,0.0007271738],"domain_scores_gemma":[0.9994633,0.0001632285,0.00007758399,0.0001325065,0.00002345267,0.0001399153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002140846,0.0004319285,0.9888521,0.00009459782,0.0002234845,0.0001729374,0.000302623,0.0003117277,0.00057576,0.001426156,0.0004704463,0.006924082],"study_design_scores_gemma":[0.004105397,0.0003944241,0.9876573,0.000009343848,0.00002397954,0.00001687533,0.001210042,0.0008280393,0.0002362837,0.001836161,0.003550987,0.0001311541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740991,0.0188133,0.0002567325,0.005282754,0.0002343672,0.0008622912,0.0001096667,0.00002077953,0.0003210243],"genre_scores_gemma":[0.9816839,0.003965689,0.01245747,0.0007215734,0.00001884021,0.0004150333,0.0006305982,0.00001948801,0.00008743917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484761,"threshold_uncertainty_score":0.701067,"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."}}