{"id":"W2151565198","doi":"10.1016/j.envpol.2005.10.009","title":"Influence of vegetation in mitigation of methyl parathion runoff","year":2005,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Surface runoff; Environmental science; Vegetation (pathology); Parathion methyl; Environmental chemistry; Hydrology (agriculture); Pesticide; Chemistry; Geology; Ecology; Geotechnical engineering; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002462815,0.00008690581,0.0001326473,0.00004331737,0.00002422986,0.000002024705,0.00007976562,0.00006652805,0.0001293679],"category_scores_gemma":[0.00001159299,0.00008971113,0.00003514332,0.0001152906,0.0001169104,0.000296843,0.00003757304,0.00006260992,0.0001145613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415098,"about_ca_system_score_gemma":0.000004166248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001668204,"about_ca_topic_score_gemma":0.0002859375,"domain_scores_codex":[0.9990458,0.00006039415,0.0003819577,0.0001519228,0.0002440521,0.0001158804],"domain_scores_gemma":[0.9995893,0.00001961969,0.0002219607,0.0001370877,0.00000105319,0.00003101576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001547486,0.0001167229,0.149558,0.00001598035,0.00000366378,3.165325e-7,0.0006027081,0.4358469,0.4083153,0.0003076556,0.00001103652,0.005206198],"study_design_scores_gemma":[0.0003157824,0.0000616117,0.9223004,0.00003527288,0.000007026548,0.000001973415,0.00006590395,0.02512964,0.05143259,0.0003501211,0.0002076216,0.00009207305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984594,0.00007677618,0.0003413153,0.00005281989,0.00002186569,0.0001845804,0.00001238516,0.000005581771,0.0008452698],"genre_scores_gemma":[0.9988763,0.0000295458,0.0009686599,0.00003161982,0.00001377519,0.00000819117,0.00001871043,0.000006325479,0.0000468743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7727424,"threshold_uncertainty_score":0.3658314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00347730610715574,"score_gpt":0.1996161043473715,"score_spread":0.1961387982402157,"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."}}