{"id":"W2934862171","doi":"10.1016/j.envpol.2019.03.125","title":"Widespread occurrence and spatial distribution of glyphosate, atrazine, and neonicotinoids pesticides in the St. Lawrence and tributary rivers","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":190,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Canada Foundation for Innovation","keywords":"Clothianidin; Thiamethoxam; Tributary; Pesticide; Glyphosate; Environmental science; Atrazine; Transect; Acetamiprid; Metolachlor; Surface water; Fipronil; Thiacloprid; Hydrology (agriculture); Imidacloprid; Ecology; Geography; Biology; Geology; Environmental 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":[0.000206823,0.00007759873,0.00008930533,0.000007510511,0.00007865985,0.00001931978,0.00006371699,0.00004828631,0.00007935201],"category_scores_gemma":[0.00002013798,0.00003293709,0.00001397459,0.0000708463,0.0002258509,0.0001027787,0.0000563178,0.00009495945,0.000003536964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002103974,"about_ca_system_score_gemma":0.000002904333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171968,"about_ca_topic_score_gemma":0.0003887475,"domain_scores_codex":[0.9993544,0.00008117075,0.0001082682,0.0001617697,0.0001464728,0.0001478991],"domain_scores_gemma":[0.9997426,0.0001500054,0.00003938176,0.00002998352,0.000002540246,0.00003545812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112204,0.0000580444,0.7019973,0.00001404181,0.000003493776,0.000002864339,0.0001671767,0.00001085455,0.2091437,0.0001228396,0.00002802459,0.08833938],"study_design_scores_gemma":[0.000182313,0.0003129814,0.9972762,0.00001821527,0.000005946016,0.00001555011,0.000227672,0.0003757713,0.001013332,0.0002710438,0.0002329197,0.00006801259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985647,0.0004722096,0.000008746034,0.0002981146,0.00002499649,0.0001962774,0.0003989148,0.000004021813,0.00003205403],"genre_scores_gemma":[0.9993416,0.0004078795,0.000005580655,0.00002772966,0.00001849485,0.000003100168,0.0001887601,3.130233e-7,0.000006514261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952789,"threshold_uncertainty_score":0.2599653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898257988432529,"score_gpt":0.2082193386307721,"score_spread":0.1992367587464468,"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."}}