{"id":"W1972051537","doi":"10.1016/j.atmosenv.2006.03.039","title":"Spatial and temporal distribution of pesticide air concentrations in Canadian agricultural regions","year":2006,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pesticide; Trifluralin; Metolachlor; Environmental science; Lindane; Chlorpyrifos; Chlordane; Endosulfan; Atrazine; Alachlor; Dieldrin; Pendimethalin; MCPA; Environmental chemistry; Chemistry; Agronomy; Weed; 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":[0.0002680291,0.0001923492,0.0001931538,0.002442104,0.001265837,0.0009054776,0.0006303572,0.0003055796,0.001650041],"category_scores_gemma":[0.0007726818,0.0002050765,0.0003603704,0.004321599,0.0005165905,0.0002402657,0.0004513782,0.0002613911,0.0001611237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01172509,"about_ca_system_score_gemma":0.01010688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921224,"about_ca_topic_score_gemma":0.9965904,"domain_scores_codex":[0.999594,0.00001733489,0.00001831443,0.00008046314,0.0001336105,0.0001561997],"domain_scores_gemma":[0.9991038,0.00009689853,0.0001419839,0.00002049573,0.0005423577,0.00009439119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002919545,0.00003976024,0.9711297,0.000102813,0.0001205447,0.000202936,0.00132269,0.001450003,0.004651102,0.0004402802,0.002347063,0.01790115],"study_design_scores_gemma":[0.000001853413,0.000006445339,0.9975662,0.000006096675,0.00001686213,0.00002635695,0.0005202764,0.0003054643,0.0001654604,0.000013177,0.001365417,0.000006366689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988773,0.0007802968,0.0001584358,0.000151563,0.000007605875,0.00001958753,0.006217246,0.00001848816,0.003873717],"genre_scores_gemma":[0.9956572,0.0005146693,0.0002618973,0.00002312504,0.000004602216,0.00001032755,0.001684379,0.000003471822,0.001840356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172509,"threshold_uncertainty_score":0.0850718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003636321052158713,"score_gpt":0.176810296674899,"score_spread":0.1731739756227403,"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."}}