{"id":"W3005334549","doi":"10.1016/j.jenvman.2020.110210","title":"A review of the effectiveness of vegetated buffers to mitigate pesticide and nutrient transport into surface waters from agricultural areas","year":2020,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Syngenta (Canada); University of Guelph","funders":"Syngenta Canada; U.S. Department of Agriculture","keywords":"Environmental science; Nutrient; Pesticide; Agriculture; Surface water; Environmental engineering; Water quality; Environmental protection; Water resource management; Agronomy; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873068,0.0011924,0.002693909,0.003517191,0.0002606386,0.001466708,0.001507491,0.001312002,0.003848985],"category_scores_gemma":[0.003511699,0.0005371348,0.001706665,0.003605069,0.0004341576,0.001384807,0.0006851729,0.00141479,0.0006455389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038843,"about_ca_system_score_gemma":0.002849606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005912801,"about_ca_topic_score_gemma":0.01103056,"domain_scores_codex":[0.999447,0.00009973531,0.0001530914,0.00009914119,0.0001654249,0.00003557267],"domain_scores_gemma":[0.9977716,0.001408856,0.0003701115,0.00003473868,0.0003560167,0.00005862408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001707599,0.0001036571,0.0002194191,0.1901788,0.0007421255,0.00008694955,0.00008046221,0.0005167378,0.001176262,0.0021567,0.01440397,0.7901642],"study_design_scores_gemma":[0.0001225319,0.0005979079,0.003266824,0.09796225,0.004202315,0.0005982202,0.000186789,0.0002567299,0.001153255,0.001571642,0.8900027,0.00007889528],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009531451,0.9994023,0.00005731175,0.00009622675,0.00006650967,0.000007249967,0.00003380174,0.000002092364,0.000239178],"genre_scores_gemma":[0.0006660363,0.9988403,0.0001977854,0.0001178398,0.00003984635,0.000006512305,0.0000257408,0.000001160436,0.0001047915],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005912801,"threshold_uncertainty_score":0.01287621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005500197215549301,"score_gpt":0.2099382260011189,"score_spread":0.2044380287855695,"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."}}