{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001582253,0.0002177372,0.0003518227,0.0002831041,0.00005897997,0.00006659661,0.000162097,0.0000729471,0.000571557],"category_scores_gemma":[0.0003040037,0.0001944923,0.0001010721,0.0003333923,0.0001512432,0.00009676653,0.0001055103,0.0001365636,0.0003362464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005185683,"about_ca_system_score_gemma":0.0001754624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004329387,"about_ca_topic_score_gemma":0.00004486084,"domain_scores_codex":[0.997901,0.0001233046,0.0003328258,0.0003725069,0.0006213809,0.0006489953],"domain_scores_gemma":[0.9986596,0.0003132553,0.00006143998,0.000321937,0.0002142323,0.0004295788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005695381,0.0009856903,0.8639616,0.0005480272,0.0002357775,0.00004696115,0.0001726544,0.001018657,0.02086563,0.003879176,0.003150604,0.1050783],"study_design_scores_gemma":[0.001139672,0.0002678261,0.9755887,0.00006460647,0.00007717562,3.962536e-7,0.0001018303,0.003115749,0.009471371,0.003442909,0.006530243,0.0001994629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767222,0.01921507,0.0002658259,0.001572743,0.00009881658,0.001324057,0.00003628721,0.00004349926,0.0007214728],"genre_scores_gemma":[0.9855302,0.004713831,0.007394925,0.0005148263,0.0001295248,0.0005179687,0.0002150507,0.00003790864,0.0009457524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116272,"threshold_uncertainty_score":0.7931167,"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."}}