{"id":"W2563248625","doi":"10.1093/biomethods/bpw002","title":"Variations in 5-methylcytosine and 5-hydroxymethylcytosine among human brain, blood, and saliva using oxBS and the Infinium MethylationEPIC array","year":2016,"lang":"en","type":"article","venue":"Biology Methods and Protocols","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Pfizer Canada; Canadian Institutes of Health Research; Genome Canada; National Institutes of Health; National Institute on Drug Abuse; Fondation Fyssen; American Foundation for Suicide Prevention","keywords":"5-Hydroxymethylcytosine; 5-Methylcytosine; DNA methylation; Bisulfite; Bisulfite sequencing; Biology; Computational biology; Epigenetics; Genetics; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003375387,0.0002326025,0.0001874252,0.0007310361,0.0002544449,0.0003817394,0.0001898338,0.0003182838,0.001060744],"category_scores_gemma":[0.0006322405,0.0001880592,0.000263505,0.0005381664,0.0002107229,0.00009926228,0.0002531129,0.0002370089,0.0002115077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157902,"about_ca_system_score_gemma":0.0001747627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447162,"about_ca_topic_score_gemma":0.006760366,"domain_scores_codex":[0.9995323,0.00008044375,0.00003022112,0.0002121991,0.0001037948,0.00004102506],"domain_scores_gemma":[0.9998783,0.00003737009,0.00002255871,0.00001770699,0.00003414431,0.00001005322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004171482,0.0000263727,0.09996836,0.0001294429,0.0002158116,0.0001024693,0.0004609734,0.0002900979,0.8697404,0.0002492785,0.0003033404,0.02809645],"study_design_scores_gemma":[0.00001601435,0.0003249612,0.6576595,0.00003570991,0.0003033258,0.001000316,0.0002406732,0.002590932,0.3315034,0.0004135863,0.005873973,0.00003752551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9818081,0.001335916,0.01258797,0.00007442253,0.00001419315,0.0000452501,0.002078407,0.00009763121,0.001958095],"genre_scores_gemma":[0.9774532,0.0006831512,0.01736553,0.0001306184,0.00001382339,0.00009076859,0.002431496,0.00004111243,0.001790255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003447162,"threshold_uncertainty_score":0.006854236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168567328432487,"score_gpt":0.3945483664648352,"score_spread":0.3628626931805103,"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."}}