{"id":"W2953441293","doi":"10.1093/cercor/bhz115","title":"Epigenomic Convergence of Neural-Immune Risk Factors in Neurodevelopmental Disorder Cortex","year":2019,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Intellectual and Developmental Disabilities Research Center; Brain and Behavior Research Foundation; University of California; University of California Berkeley; National Institutes of Health","keywords":"Epigenomics; Epigenetics; DNA methylation; Biology; Neurodevelopmental disorder; MECP2; Differentially methylated regions; Neuroscience; Genetics; Rett syndrome; Gene; Gene expression; Phenotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001170334,0.0001721894,0.0002140615,0.00006154872,0.00003439125,0.000009256868,0.0001986109,0.0001170385,0.0001978986],"category_scores_gemma":[0.0000392129,0.0001662237,0.00009232817,0.0001225216,0.00005544634,0.000006582651,0.0001177821,0.0001178152,0.00002779144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531985,"about_ca_system_score_gemma":0.00005671045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000323081,"about_ca_topic_score_gemma":0.000134974,"domain_scores_codex":[0.9988298,0.00007109442,0.0003753651,0.000366538,0.0001202144,0.0002370166],"domain_scores_gemma":[0.9993639,0.00001692002,0.0001916309,0.0003274955,0.00004429894,0.00005576436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002336893,0.00002970782,0.5713695,0.000008910887,0.00001040065,3.910072e-7,0.00005001429,0.0001826194,0.4276251,0.00001013251,0.000005018093,0.0006848273],"study_design_scores_gemma":[0.0004799768,0.0001915198,0.8543463,0.000005486183,0.000007171811,5.31137e-7,0.00008408889,0.0005467146,0.1434838,0.00004583429,0.0006328845,0.000175669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978297,0.0008793572,0.0001103375,0.0000100785,0.0004242825,0.0002725126,0.0000303946,0.000006988575,0.0004363261],"genre_scores_gemma":[0.9987971,0.000413293,0.00009478292,0.00001925968,0.00002265411,0.000004753483,0.0001775767,0.00002463072,0.0004459422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2841413,"threshold_uncertainty_score":0.6778408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006628121659687063,"score_gpt":0.2236214983645471,"score_spread":0.21699337670486,"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."}}