{"id":"W2737752879","doi":"10.1186/s13148-017-0370-2","title":"Maternal blood contamination of collected cord blood can be identified using DNA methylation at three CpGs","year":2017,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership; BC Children's Hospital; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Medical Research Council; National Institutes of Health; Signe ja Ane Gyllenbergin Säätiö; Jane ja Aatos Erkon Säätiö; Novo Nordisk Fonden; Foundation for the National Institutes of Health; Academy of Finland; Novo Nordisk; South African Medical Research Council; Päivikki ja Sakari Sohlbergin Säätiö; National Research Foundation; Emil Aaltosen Säätiö; AllerGen; Canadian Institutes of Health Research; Suomen Lääketieteen Säätiö; Helsingin Yliopisto; Bill and Melinda Gates Foundation","keywords":"dNaM; Cord blood; Pyrosequencing; DNA methylation; Epigenetics; Biology; Contamination; Population; Cohort; Medicine; Physiology; Andrology; Bioinformatics; Computational biology; Genetics; Internal medicine; Environmental health; Gene; Ecology","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":[0.000613237,0.0001586737,0.0005060767,0.00006397697,0.0002582116,0.00004767103,0.000239443,0.0002803622,0.00006154813],"category_scores_gemma":[0.006021245,0.0001515057,0.0001594378,0.00007883491,0.0003159417,0.00004312395,0.0002163104,0.0002130621,0.00000572046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003389739,"about_ca_system_score_gemma":0.0001453713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006451287,"about_ca_topic_score_gemma":0.001381543,"domain_scores_codex":[0.9980798,0.00009751742,0.0008915417,0.0003081431,0.000386549,0.0002364375],"domain_scores_gemma":[0.9972287,0.0007507778,0.0007331856,0.0006917769,0.0003722769,0.0002232892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00045595,0.0004380823,0.9593784,0.00008045235,0.0002865464,0.00007591159,0.0000414776,0.00002930479,0.03018224,0.0001292717,0.00008277564,0.008819541],"study_design_scores_gemma":[0.00423333,0.000842182,0.8316045,0.0001823074,0.001124891,0.00002162872,0.000006824345,0.002701073,0.15875,0.000339282,0.00006109021,0.0001328688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960459,0.0001801762,0.001919503,0.0002592542,0.0005428339,0.0003484928,0.00008259565,0.00003551998,0.0005857488],"genre_scores_gemma":[0.9953649,0.0002051083,0.003517562,0.0001062779,0.000264122,0.00000440504,0.00006351839,0.00002698073,0.0004471496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285678,"threshold_uncertainty_score":0.7208428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221767889658162,"score_gpt":0.3963754564067263,"score_spread":0.2741986674409101,"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."}}