{"id":"W2079955781","doi":"10.1007/s00128-011-0361-5","title":"Occurrence and Distribution of Sulfonylurea and Related Herbicides in Central Canadian Surface Waters 2006–2008","year":2011,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sulfonylurea; Environmental science; Surface water; Ecotoxicology; Environmental chemistry; Sampling (signal processing); Hydrology (agriculture); Chemistry; Animal science; Environmental engineering; Biology","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":[0.0002403311,0.0002999033,0.0002428776,0.002664028,0.001551012,0.0007808558,0.0007835026,0.0003604134,0.00091491],"category_scores_gemma":[0.0005804031,0.0002207545,0.0003225072,0.004249636,0.0005343867,0.0002343216,0.0004550777,0.0003405085,0.0001277359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132302,"about_ca_system_score_gemma":0.01667061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953412,"about_ca_topic_score_gemma":0.9981034,"domain_scores_codex":[0.9996232,0.00001187035,0.00002605922,0.00006875867,0.000165781,0.0001043264],"domain_scores_gemma":[0.9987923,0.00003853875,0.0002207084,0.00001988138,0.0007931623,0.0001353571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002380257,0.0000299289,0.9688664,0.0001252376,0.0001127319,0.0002441571,0.001577276,0.0003376492,0.003462627,0.0001407457,0.003492024,0.02137313],"study_design_scores_gemma":[0.000002213109,0.00001062118,0.9960645,0.00001584359,0.00001642512,0.00004486262,0.0005960676,0.0001306183,0.0002322169,0.00000583919,0.002874814,0.000006002369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879605,0.001000849,0.0001275233,0.0001342553,0.00001055369,0.00002855002,0.007237136,0.00002205975,0.003478443],"genre_scores_gemma":[0.9906039,0.0009680574,0.0005255402,0.0001114942,0.00000629769,0.00001742689,0.00406127,0.000006443016,0.003699614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132302,"threshold_uncertainty_score":0.09599227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008269791606583516,"score_gpt":0.1823011491495847,"score_spread":0.1740313575430012,"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."}}