{"id":"W2888317573","doi":"10.1101/399279","title":"Differences in DNA methylation of white blood cell types at birth and in adulthood reflect postnatal immune maturation and influence accuracy of cell type prediction","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Canadian Institute for Advanced Research; University of British Columbia","funders":"National Health and Medical Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Medical Research Council; ZonMw; European Commission","keywords":"Cord blood; DNA methylation; Biology; Immune system; White blood cell; Methylation; Cell type; Immunology; Cell; Andrology; Blood cell; CD8; DNA; Genetics; Medicine; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008635243,0.0002990353,0.0003746422,0.0004761773,0.0001810157,0.0005016255,0.0003124347,0.0003871646,0.00164863],"category_scores_gemma":[0.003108052,0.0002348746,0.000237505,0.0003851712,0.0002137581,0.0002938624,0.0003119736,0.0003680128,0.0005506935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301444,"about_ca_system_score_gemma":0.0002000199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234929,"about_ca_topic_score_gemma":0.003850243,"domain_scores_codex":[0.999454,0.0001220155,0.00003672124,0.0002327441,0.00009318795,0.00006141768],"domain_scores_gemma":[0.9986278,0.0006648295,0.0002454807,0.0001648878,0.0002215514,0.00007546963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000819036,0.00004612307,0.6153795,0.0001463804,0.0002698495,0.0000920798,0.0003862942,0.001828055,0.3091692,0.000281826,0.000549752,0.07103188],"study_design_scores_gemma":[0.000007116458,0.0002701706,0.8896216,0.00003950033,0.0001343398,0.000285301,0.0001634277,0.009404047,0.09738196,0.0005577495,0.00211352,0.00002133913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726902,0.001697409,0.02218329,0.00007563551,0.00003519223,0.00001839963,0.001782634,0.0002048455,0.001312357],"genre_scores_gemma":[0.9908816,0.0003904712,0.006769918,0.00005887626,0.00001060241,0.00002457138,0.0009888909,0.00005398154,0.0008210932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234929,"threshold_uncertainty_score":0.005515218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007854267647691576,"score_gpt":0.2194241769152584,"score_spread":0.2115699092675668,"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."}}