{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009151023,0.0001804589,0.0001726413,0.0003881457,0.0001323257,0.0001823141,0.0001217623,0.0002118427,0.0007910365],"category_scores_gemma":[0.0001657586,0.0001430434,0.0001359386,0.0002399237,0.0001547648,0.0001026524,0.000210605,0.0002882072,0.0001154782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999071,"about_ca_system_score_gemma":0.0001993916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379852,"about_ca_topic_score_gemma":0.008454616,"domain_scores_codex":[0.9999077,0.000008995768,0.000003517047,0.00004064415,0.00002305295,0.00001606706],"domain_scores_gemma":[0.9999263,0.00001080586,0.00002769932,0.000006141035,0.00001356685,0.00001544179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001763727,0.00001419948,0.0136667,0.00004337849,0.00002429311,0.00005939936,0.00006920958,0.00007608532,0.977531,0.00006194525,0.00005732223,0.008220091],"study_design_scores_gemma":[0.00001046496,0.0004652254,0.6208759,0.00002188341,0.0001109691,0.0006432164,0.0002043162,0.001432636,0.3731962,0.0002369585,0.00278275,0.00001949382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880123,0.002109045,0.007300264,0.00007934661,0.00001272127,0.00002954672,0.001543132,0.00007954588,0.0008340054],"genre_scores_gemma":[0.9856617,0.002477569,0.008107792,0.0001073519,0.000008980556,0.00006880436,0.001355526,0.00003251328,0.002179789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003379852,"threshold_uncertainty_score":0.006720364,"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."}}