{"id":"W4391363973","doi":"10.1016/j.scitotenv.2024.170534","title":"Urban-use pesticides in stormwater ponds and their accumulation in biofilms","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Ministry of Environment; University of Waterloo","funders":"Government of Ontario","keywords":"Stormwater; Pesticide; Environmental science; Water resource management; Stormwater management; Environmental engineering; Hydrology (agriculture); Surface runoff; Ecology; Biology; Geology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135816,0.0001002078,0.00008361952,0.00005621114,0.0001048471,0.00006497407,0.0003115913,0.00002589068,0.0002527063],"category_scores_gemma":[0.00001905818,0.00004947939,0.00003083849,0.0003226309,0.001172242,0.0004310602,0.0004598768,0.0001230882,0.00005499105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632394,"about_ca_system_score_gemma":0.00001320355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005950576,"about_ca_topic_score_gemma":0.00002287937,"domain_scores_codex":[0.9989081,0.00009923061,0.000200227,0.0002449509,0.0003282539,0.0002192478],"domain_scores_gemma":[0.9995677,0.00007291514,0.00003931976,0.0002815948,7.640446e-7,0.00003770452],"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":[0.00002703924,0.0001779073,0.02308945,0.00002295558,0.000008258878,0.000003382111,0.01809422,0.2531303,0.6985005,0.002074899,0.0002058651,0.004665283],"study_design_scores_gemma":[0.0001247674,0.0000402621,0.9221972,0.0000462699,0.000005194273,0.000007569945,0.0002849021,0.03535865,0.04036326,0.001091041,0.0003627153,0.0001182211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971302,0.00006256047,0.00002424469,0.002161379,0.0001121524,0.0001990951,0.000005941378,0.000007433312,0.0002970148],"genre_scores_gemma":[0.998953,0.0000208586,0.00007640298,0.00003803953,0.00000928622,0.000008878274,4.329838e-7,0.00000449648,0.0008886118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8991077,"threshold_uncertainty_score":0.4319173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169657822544281,"score_gpt":0.2639048153812683,"score_spread":0.2322082371558255,"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."}}