{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000414867,0.0002246432,0.0001732099,0.0000816887,0.0003359429,0.00005265746,0.0007645256,0.00002306745,0.005313479],"category_scores_gemma":[0.00001243915,0.0001511946,0.00003019204,0.0003816701,0.001159183,0.000760378,0.001081182,0.00007895741,0.0007178313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003109279,"about_ca_system_score_gemma":0.00003283809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729615,"about_ca_topic_score_gemma":0.9883373,"domain_scores_codex":[0.9973865,0.000024529,0.0002771826,0.0005946731,0.0009113188,0.0008057759],"domain_scores_gemma":[0.9993738,0.000028362,0.00006688158,0.0003701884,0.000003444409,0.0001573097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002108785,0.00007279836,0.978747,0.000005969402,0.000008214247,0.0001523716,0.000520618,0.0001320409,0.007727136,0.0002359185,0.004065606,0.008311211],"study_design_scores_gemma":[0.0004388831,0.00003887916,0.9775884,0.00003561069,0.000009541172,0.000003572799,0.0001599124,0.00001419811,0.001384651,0.0007008073,0.01934956,0.0002759514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591265,0.0000155189,0.00008703479,0.0011715,0.0002007559,0.0002482846,0.000002120023,0.00002667168,0.03912159],"genre_scores_gemma":[0.984153,0.00003537211,0.0006486214,0.0005558737,0.00001490812,0.00003702301,0.000001508006,0.000009954552,0.01454378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02502644,"threshold_uncertainty_score":0.9955958,"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."}}