{"id":"W4307983148","doi":"10.1093/eep/dvac023","title":"Accounting for transgenerational effects of toxicant exposure in population models alters the predicted long-term population status","year":2022,"lang":"en","type":"article","venue":"Current Zoology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Arctic Eider Society","funders":"Environmental Protection Agency","keywords":"Toxicant; Population; Biology; Fecundity; Population model; Epigenome; Ecology; Epigenetics; Zoology; Toxicology; DNA methylation; Medicine; Internal medicine; Genetics; Environmental health; Toxicity","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":[0.001044147,0.0005903927,0.0004503793,0.0003655127,0.0003223123,0.0006887508,0.001295397,0.0008352112,0.002905965],"category_scores_gemma":[0.002807471,0.0003160908,0.0009559286,0.0003175276,0.0004983066,0.0006495335,0.0006634997,0.0008959707,0.00025402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041573,"about_ca_system_score_gemma":0.0007861407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555594,"about_ca_topic_score_gemma":0.01145403,"domain_scores_codex":[0.9997773,0.00008047006,0.000009871699,0.000081734,0.00002040696,0.00003022835],"domain_scores_gemma":[0.9991998,0.0004553135,0.0001246519,0.00007288976,0.00009600983,0.000051439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001946918,0.00002577361,0.006890316,0.00001620955,0.00006860619,0.00005213981,0.00002467436,0.9866742,0.001338912,0.002846932,0.0001628637,0.001879791],"study_design_scores_gemma":[0.000007088307,0.00002907436,0.001954189,0.000003578338,0.00002973816,0.00002023502,0.00001327689,0.9960665,0.0001847418,0.001431483,0.0002532328,0.000006881711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772221,0.0003092448,0.2159026,0.0005108361,0.00008708093,0.00008291446,0.001251891,0.0003540554,0.004279347],"genre_scores_gemma":[0.9837654,0.0001741783,0.01193593,0.0001017816,0.00001664514,0.0001241166,0.0004716713,0.00005403755,0.003356321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555594,"threshold_uncertainty_score":0.03093082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087086421003399,"score_gpt":0.2989152675046454,"score_spread":0.2680444032946114,"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."}}