{"id":"W2741926792","doi":"10.1016/j.scitotenv.2017.07.032","title":"Investigation of the presence and endocrine activities of pesticides found in wastewater effluent using yeast-based bioassays","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Yeast; Pesticide; Bioassay; Effluent; Wastewater; Environmental chemistry; Chemistry; Endocrine disruptor; Sewage treatment; Fungicide; Endocrine system; Biology; Toxicology; Environmental science; Environmental engineering; Hormone; Botany; Biochemistry; Ecology","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":[0.0002328297,0.000622407,0.000276979,0.0004245726,0.0001740152,0.0004162421,0.0002429325,0.0003046174,0.0006776759],"category_scores_gemma":[0.0003911466,0.0001338445,0.0002770696,0.0005705596,0.0002569391,0.0002110907,0.000361275,0.0004154245,0.0002216075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313488,"about_ca_system_score_gemma":0.0002350616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470115,"about_ca_topic_score_gemma":0.00206552,"domain_scores_codex":[0.9996911,0.000034515,0.00003797867,0.00007056521,0.0001258554,0.00003991938],"domain_scores_gemma":[0.9996378,0.00009454149,0.0000719703,0.00002615668,0.0001271765,0.0000423515],"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":[0.00007899574,0.00003727533,0.001694924,0.00003466618,0.000008175497,0.00004205022,0.00003289141,0.00004567478,0.9970033,0.00001320542,0.000007079995,0.001001707],"study_design_scores_gemma":[0.000007241642,0.0007875976,0.01407469,0.000006698107,0.00003746444,0.0001618874,0.0001989859,0.0002891914,0.9839796,0.00002806744,0.0004216659,0.000006898651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961922,0.0004350037,0.002242817,0.00002676251,0.00001211317,0.0000219847,0.0004010356,0.00002708722,0.0006409345],"genre_scores_gemma":[0.9927077,0.001009687,0.003180323,0.00003370689,0.00000508634,0.00003405111,0.0007352266,0.00000876778,0.00228551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470115,"threshold_uncertainty_score":0.002923071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176163119639351,"score_gpt":0.2493278301044354,"score_spread":0.2075661989080419,"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."}}