{"id":"W2952786557","doi":"10.1038/tp.2017.171","title":"BECon: a tool for interpreting DNA methylation findings from blood in the context of brain","year":2017,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; McGill University; Douglas Mental Health University Institute; Canadian Institute for Advanced Research; University of British Columbia","funders":"Fondation Brain Canada","keywords":"DNA methylation; Context (archaeology); Schizophrenia (object-oriented programming); Psychology; Methylation; DNA; Computational biology; Neuroscience; Medicine; Psychiatry; Genetics; Biology; Gene","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":[0.005115455,0.001918153,0.001527093,0.005529571,0.0009886101,0.002303605,0.001330976,0.001964541,0.02884789],"category_scores_gemma":[0.01930299,0.001078563,0.00108132,0.003489509,0.000526842,0.001917727,0.003288328,0.001432554,0.009191005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006796815,"about_ca_system_score_gemma":0.001605432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002624984,"about_ca_topic_score_gemma":0.006377306,"domain_scores_codex":[0.9977379,0.0005461281,0.0002677211,0.0006147168,0.0006842943,0.0001493142],"domain_scores_gemma":[0.9923177,0.004517917,0.0008570427,0.0008181391,0.001204956,0.0002842548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004352052,0.0002244582,0.07587975,0.005213674,0.001831417,0.001412776,0.003013735,0.005331254,0.06262521,0.01169909,0.4708618,0.3575547],"study_design_scores_gemma":[0.0006610528,0.0004792076,0.1124445,0.001163604,0.0007980806,0.002455556,0.001111622,0.1319123,0.118102,0.06791858,0.5621329,0.0008205023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03182233,0.002088126,0.4480846,0.0009682959,0.000859003,0.000597041,0.09556329,0.4047384,0.01527897],"genre_scores_gemma":[0.1308719,0.000988964,0.7526366,0.001711747,0.00024208,0.00343895,0.05819858,0.04192166,0.009989392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02884789,"threshold_uncertainty_score":0.09650576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578550571198612,"score_gpt":0.2975705787404094,"score_spread":0.2817850730284233,"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."}}