{"id":"W2526104012","doi":"10.1097/hjh.0000000000001092","title":"Epigenome and exposome in prenatal programming","year":2016,"lang":"en","type":"letter","venue":"Journal of Hypertension","topic":"Birth, Development, and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Exposome; Epigenome; Medicine; Fetal programming; Computational biology; Pregnancy; Genetics; Environmental health; DNA methylation; Fetus; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0018288,0.0004979849,0.0004220874,0.001225166,0.0008180509,0.001638819,0.0005595163,0.00179467,0.007354364],"category_scores_gemma":[0.004723264,0.0002499243,0.0005476267,0.001024511,0.001917083,0.001486382,0.002443044,0.003295176,0.0006553155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009267101,"about_ca_system_score_gemma":0.001130219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004714208,"about_ca_topic_score_gemma":0.005116168,"domain_scores_codex":[0.9991091,0.0004741596,0.00003329345,0.000180268,0.0001198768,0.00008328861],"domain_scores_gemma":[0.9976014,0.001811674,0.0001707286,0.00009386891,0.0001380631,0.0001841875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004998203,0.000147107,0.09060311,0.001575475,0.0004117912,0.002428777,0.006922889,0.00135026,0.002606035,0.5012713,0.05090199,0.3412814],"study_design_scores_gemma":[0.0000284324,0.0002270525,0.1135765,0.004577635,0.0003567486,0.005615829,0.003170116,0.001810587,0.001402862,0.4634229,0.405666,0.000145328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.06316541,0.5270546,0.04189256,0.2747331,0.007185956,0.0001030046,0.002480427,0.0003135035,0.08307146],"genre_scores_gemma":[0.5888791,0.3046203,0.03239467,0.04001928,0.009219966,0.0002623226,0.001200634,0.0001656262,0.02323817],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007354364,"threshold_uncertainty_score":0.02460277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221527826629486,"score_gpt":0.269262992610714,"score_spread":0.2270477143444192,"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."}}