{"id":"W2028470142","doi":"10.2217/epi.14.66","title":"Dna Methylation in Psychosis: Insights Into Etiology and Treatment","year":2015,"lang":"en","type":"article","venue":"Epigenomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Institute for Advancements in Mental Health","keywords":"Psychosis; DNA methylation; Antipsychotic; Schizophrenia (object-oriented programming); Methylation; Etiology; Epigenetics; Biology; Bioinformatics; Psychiatry; DNA; Gene; Genetics; Medicine; 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":[0.0006903931,0.0003869462,0.0006960694,0.0009141798,0.0003202268,0.0006873829,0.0004832367,0.0009107973,0.002054185],"category_scores_gemma":[0.000715407,0.0002179755,0.0003275462,0.0004959173,0.0009236631,0.0007025402,0.0007983202,0.001548429,0.000411258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080984,"about_ca_system_score_gemma":0.001403349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183141,"about_ca_topic_score_gemma":0.002941455,"domain_scores_codex":[0.9998379,0.00006053678,0.00001201279,0.00002745448,0.00003575194,0.00002631664],"domain_scores_gemma":[0.9998034,0.00007214427,0.00003392057,0.00001797232,0.00003534046,0.00003711997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001177152,0.0005443502,0.01316495,0.00237736,0.0001940723,0.001047046,0.0005991791,0.001693237,0.03832274,0.03477971,0.009796158,0.896304],"study_design_scores_gemma":[0.0009474268,0.00569386,0.1044287,0.005295012,0.0009985648,0.006251082,0.002591241,0.01060829,0.03731423,0.287707,0.5378695,0.0002951099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07457196,0.832029,0.009999602,0.06610399,0.0007481072,0.00009177507,0.0004530642,0.0002037067,0.01579882],"genre_scores_gemma":[0.388037,0.5932471,0.006943496,0.00483041,0.001299127,0.0001243676,0.0001988126,0.00004127463,0.005278509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002054185,"threshold_uncertainty_score":0.007843196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564173431110828,"score_gpt":0.284171358326068,"score_spread":0.2585296240149598,"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."}}