{"id":"W2903262560","doi":"10.3389/fgene.2018.00610","title":"Prenatal Alcohol Exposure: Profiling Developmental DNA Methylation Patterns in Central and Peripheral Tissues","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; BC Children's Hospital; University of British Columbia","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; Fondation Brain Canada","keywords":"DNA methylation; Biology; DNA profiling; Epigenetics; Profiling (computer programming); Methylation; Genetics; Peripheral; DNA; Bioinformatics; Medicine; Computational biology; Gene; Computer science; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001925711,0.0001796099,0.0002665546,0.000148469,0.00003568118,0.00002227373,0.00008632412,0.0001356349,0.00001994606],"category_scores_gemma":[0.00006904466,0.0001823987,0.00002436639,0.0001759845,0.0001047605,0.0001053125,0.00006312161,0.0001859534,0.000001996168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278048,"about_ca_system_score_gemma":0.00007696899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710574,"about_ca_topic_score_gemma":0.0001289864,"domain_scores_codex":[0.9986322,0.00007103202,0.0003074772,0.0003357637,0.0002387979,0.0004147584],"domain_scores_gemma":[0.9996347,0.00001720753,0.00005535457,0.0001423606,0.00003440625,0.0001159886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001674164,0.0000511414,0.9571219,0.0001032611,0.00002593399,0.00005890095,0.002490445,0.00001763865,0.006946251,0.000005715297,0.0001499352,0.03286146],"study_design_scores_gemma":[0.002262133,0.0002867674,0.7845051,0.0002529658,0.00001694862,0.0000289407,0.0004728423,0.003400982,0.2082579,0.00008608873,0.0002131829,0.0002160979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890524,0.002906552,0.006268065,0.00004882195,0.0008116162,0.0006377025,0.00001093643,0.00003268586,0.0002312547],"genre_scores_gemma":[0.9307049,0.0001599273,0.06866952,0.00007036758,0.0002248015,0.00002749024,0.00004993728,0.00002661722,0.00006644789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2013117,"threshold_uncertainty_score":0.7438002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320949523937015,"score_gpt":0.2567933963360032,"score_spread":0.243583901096633,"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."}}