{"id":"W3159018788","doi":"10.3390/epigenomes5020010","title":"Early-Life Exposure to Environmental Contaminants Perturbs the Sperm Epigenome and Induces Negative Pregnancy Outcomes for Three Generations via the Paternal Lineage","year":2021,"lang":"en","type":"article","venue":"Epigenomes","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; McGill University Health Centre; Université Laval; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Biology; Sperm; Pregnancy; Population; Toxicant; Epigenome; DNA methylation; Genetics; Pollutant; Zoology; Physiology; Environmental health; Ecology; Medicine; Internal medicine; Gene; Toxicity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001321073,0.0002619882,0.0001401903,0.0002711585,0.0002611831,0.0002929382,0.0002138837,0.000225243,0.001299268],"category_scores_gemma":[0.0001758235,0.0001151313,0.0001702182,0.0001643178,0.0002776765,0.0000989925,0.0003141437,0.0003309853,0.0001226539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008808,"about_ca_system_score_gemma":0.0007182956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026406,"about_ca_topic_score_gemma":0.05688485,"domain_scores_codex":[0.9998709,0.00002096811,0.000004735925,0.00003761215,0.00004081044,0.00002501897],"domain_scores_gemma":[0.9998524,0.00001629477,0.00004446784,0.00001623409,0.00002921648,0.00004141236],"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":[0.0004084851,0.00006078332,0.02311464,0.00004330537,0.00004740822,0.0002612958,0.0002043562,0.0001232343,0.9667258,0.0002903976,0.0001148782,0.008605385],"study_design_scores_gemma":[0.00001331406,0.001237466,0.5712596,0.00002991848,0.0001190496,0.0008162505,0.0005348957,0.0007886211,0.4187635,0.000285392,0.006125988,0.00002613529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953182,0.0009556243,0.001836197,0.0001116936,0.00001443355,0.000009470126,0.0003728138,0.00003361078,0.001347791],"genre_scores_gemma":[0.9926595,0.0009692461,0.0009797453,0.00007108818,0.000003361465,0.00001145684,0.0003141746,0.00001029463,0.004981266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02026406,"threshold_uncertainty_score":0.0402922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650600800144682,"score_gpt":0.2880068856504263,"score_spread":0.2715008776489795,"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."}}