{"id":"W3175903268","doi":"10.1186/s13148-021-01114-5","title":"Detecting cord blood cell type-specific epigenetic associations with gestational diabetes mellitus and early childhood growth","year":2021,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University Health Centre; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Jewish General Hospital","funders":"National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Compute Canada; National Institutes of Health; American Diabetes Association","keywords":"dNaM; Cord blood; CpG site; Epigenetics; DNA methylation; Biology; Gestational diabetes; Immunology; Medicine; Bioinformatics; Internal medicine; Pregnancy; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004944099,0.0002537432,0.0003282914,0.00004551943,0.0002217298,0.00009918866,0.0001576325,0.0003311887,0.0000213048],"category_scores_gemma":[0.0006843052,0.0002542959,0.0001229882,0.0002532599,0.000177704,0.000005656708,0.0001404617,0.0002697337,0.00001217283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001085405,"about_ca_system_score_gemma":0.0002446191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005682036,"about_ca_topic_score_gemma":0.00002887471,"domain_scores_codex":[0.997667,0.0002723935,0.0006803155,0.0007100512,0.000272654,0.0003976499],"domain_scores_gemma":[0.998076,0.0003634378,0.0002808188,0.0004262509,0.0006090399,0.0002444428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004791472,0.0007085885,0.8485597,0.00003378305,0.0002543346,0.00001572403,0.0001366895,0.0002606211,0.1274109,0.0001642535,0.00005471095,0.02235279],"study_design_scores_gemma":[0.0009987551,0.001306842,0.6752072,0.0000173587,0.0001273212,0.000002444972,0.00003594508,0.00002818633,0.3184679,0.00105397,0.002411116,0.0003429123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759769,0.02031544,0.002556127,0.0001103384,0.0002762467,0.0001940837,0.0000409729,0.00002030472,0.0005095974],"genre_scores_gemma":[0.9719005,0.01407722,0.01298594,0.0001448986,0.0004578346,0.00001279327,0.0001674855,0.00005811435,0.0001951683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191057,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192257095784291,"score_gpt":0.2788756389156575,"score_spread":0.2569530679578146,"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."}}