{"id":"W172945119","doi":"10.2166/wqrj.2006.031","title":"Effectiveness of Vegetative Filter Strips in Removal of Sediments from Overland Flow","year":2006,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Food and Agriculture; University of Guelph","keywords":"Surface runoff; Sediment; Filter (signal processing); Environmental science; Pollutant; Wetland; Hydrology (agriculture); Inflow; Vegetation (pathology); Environmental engineering; Geology; Geotechnical engineering; Geomorphology; Chemistry; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002518611,0.0002390096,0.00016528,0.0002543246,0.0002093453,0.0004259812,0.0001432819,0.0001408576,0.0007401279],"category_scores_gemma":[0.0004252592,0.00009174719,0.0001831838,0.0001641793,0.0001392962,0.0001410604,0.0001384781,0.0001247235,0.0001301611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572839,"about_ca_system_score_gemma":0.0003051368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316688,"about_ca_topic_score_gemma":0.02190877,"domain_scores_codex":[0.9998349,0.00002327675,0.00001380249,0.00002225287,0.00006879475,0.00003697205],"domain_scores_gemma":[0.9995404,0.0001171471,0.0001455596,0.00002520367,0.00009140145,0.00008028545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001287156,0.0001966361,0.07877757,0.0002419113,0.00009720019,0.0001218438,0.000178382,0.001509984,0.8824255,0.00004146246,0.0001822947,0.03494009],"study_design_scores_gemma":[0.00003896975,0.004244338,0.6676098,0.00004378871,0.000119593,0.0002290689,0.0003611965,0.003120844,0.3212552,0.00004128058,0.002920665,0.00001531584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990441,0.0002435655,0.0002606819,0.00000523002,0.000002086999,0.000004595913,0.00003719448,0.000008507298,0.0003939914],"genre_scores_gemma":[0.9982224,0.0001686581,0.0006992377,0.00001090226,0.000001891334,0.000003603382,0.0001401532,0.000003185233,0.0007499683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316688,"threshold_uncertainty_score":0.02618045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08675156884544222,"score_gpt":0.3452347800756778,"score_spread":0.2584832112302356,"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."}}