{"id":"W2228530640","doi":"10.1002/ps.4218","title":"Glyphosate residues in rural groundwater, Nottawasaga River Watershed, Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto and Region Conservation Authority; University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Glyphosate; Groundwater; Environmental science; Riparian zone; Wetland; Surface water; Watershed; Hydrology (agriculture); Aminomethylphosphonic acid; Deposition (geology); Aquatic ecosystem; Environmental chemistry; Agronomy; Ecology; Environmental engineering; Sediment; Biology; Chemistry; Habitat; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001244763,0.000197057,0.0001765131,0.0007011717,0.00187567,0.0006394979,0.0003817771,0.0002156326,0.001156586],"category_scores_gemma":[0.0003483123,0.0001396467,0.0001174726,0.001814055,0.0004972002,0.0001468992,0.0003171285,0.0001697535,0.0001408146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01369151,"about_ca_system_score_gemma":0.01463368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794006,"about_ca_topic_score_gemma":0.994212,"domain_scores_codex":[0.9996815,0.0000138748,0.00001525579,0.0000706917,0.0001528778,0.00006586935],"domain_scores_gemma":[0.9995011,0.00002707111,0.00008485502,0.000006840837,0.0003273124,0.00005280499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002685248,0.00007684448,0.9069688,0.0005908504,0.00005189086,0.001171822,0.005641054,0.0006272406,0.05108228,0.000283589,0.002191336,0.03104584],"study_design_scores_gemma":[0.00001104937,0.00008414062,0.9830295,0.00005057413,0.00002351249,0.0002390706,0.004436051,0.0003222823,0.002610289,0.00006310231,0.00911701,0.00001335688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908573,0.0005456053,0.0003043045,0.0001884154,0.000005671255,0.0000870018,0.002822879,0.00002157561,0.005167216],"genre_scores_gemma":[0.9928076,0.0009016287,0.001018969,0.0001006681,0.00000266837,0.00003779342,0.001490855,0.000006560113,0.003633143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059942,"threshold_uncertainty_score":0.09933937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007477193285933666,"score_gpt":0.1903340116846174,"score_spread":0.1828568183986837,"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."}}