{"id":"W4410346990","doi":"10.1021/acs.est.5c00409","title":"Transgenerational Inheritance of Cognitive Deficits Induced by Ancestral Arsenic Exposure in Zebrafish (<i>Danio rerio</i>) via Maternal and Paternal Lineages","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Government of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Saskatchewan","keywords":"Danio; Zebrafish; Transgenerational epigenetics; Biology; Inheritance (genetic algorithm); Cognition; Arsenic; Genetics; Evolutionary biology; Zoology; Gene; Neuroscience; Epigenetics; Chemistry","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":[0.0001617874,0.0004618116,0.0002925478,0.0005523436,0.0002812521,0.0002669203,0.0003826994,0.0004452804,0.001534087],"category_scores_gemma":[0.0001580276,0.0002866212,0.0004863075,0.0001411581,0.0004808772,0.0002643238,0.0005004959,0.001178583,0.0002396588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652755,"about_ca_system_score_gemma":0.0005615347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006970404,"about_ca_topic_score_gemma":0.01670148,"domain_scores_codex":[0.9997517,0.00001392918,0.00002235518,0.00008080313,0.00008592766,0.0000452098],"domain_scores_gemma":[0.999746,0.00001801618,0.0001161922,0.00002123515,0.00004088364,0.00005759906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004852869,0.00001162657,0.0004001188,0.00001706635,0.000005773621,0.00007773093,0.00003476673,0.00002445119,0.9987239,0.00007781658,0.00002370614,0.0005545091],"study_design_scores_gemma":[0.00004050636,0.001001767,0.06727632,0.00002980935,0.0001268059,0.0005865088,0.0002340489,0.000900727,0.9260989,0.0001932777,0.003466331,0.00004496179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937016,0.0003678616,0.002843413,0.0001342261,0.00003262766,0.00004204925,0.0009862443,0.0001275558,0.001764611],"genre_scores_gemma":[0.9865111,0.0005435568,0.002948421,0.000160844,0.000008757477,0.0001021593,0.0008659149,0.00007529476,0.008783968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006970404,"threshold_uncertainty_score":0.01385969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006982832007377944,"score_gpt":0.2254806567786595,"score_spread":0.2184978247712815,"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."}}