{"id":"W4391541084","doi":"10.3390/hydrology11020022","title":"Evaluation of BMPs in Flatland Watershed with Pumped Outlet","year":2024,"lang":"en","type":"article","venue":"Hydrology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ministry of the Environment, Conservation and Parks; Toronto and Region Conservation Authority; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Buffer strip; Tillage; Watershed; Environmental science; Soil and Water Assessment Tool; SWAT model; Hydrology (agriculture); Cover crop; Soil conservation; Surface runoff; Drainage basin; Agronomy; Agroforestry; Engineering; Streamflow; Agriculture; Ecology; Geography; Geotechnical engineering; Biology","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":[0.000839218,0.0003727184,0.0003889507,0.000431649,0.000351286,0.0006835955,0.0006718811,0.0003546138,0.0004766744],"category_scores_gemma":[0.001386488,0.0001931896,0.0003165353,0.0005511356,0.0005133149,0.0004006432,0.0002716965,0.0001996046,0.00004590732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719854,"about_ca_system_score_gemma":0.002200387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117516,"about_ca_topic_score_gemma":0.1909697,"domain_scores_codex":[0.9997138,0.00007027307,0.00001629798,0.00005107508,0.0000748045,0.00007357955],"domain_scores_gemma":[0.9994503,0.0001814796,0.0001024343,0.00003020279,0.0001503352,0.00008523968],"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":[0.001329756,0.001853815,0.2073671,0.0002281228,0.0001530834,0.0007598533,0.0001614726,0.7187026,0.03376178,0.0008417914,0.0005253992,0.03431523],"study_design_scores_gemma":[0.0002231353,0.002361193,0.2399478,0.00002072706,0.0001650807,0.00005440669,0.0005998893,0.7384133,0.01685834,0.0002792946,0.001044481,0.00003237668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987431,0.00001440378,0.0005593405,0.00001258778,0.000002416431,0.00004443486,0.00009500869,0.00002516366,0.000503573],"genre_scores_gemma":[0.9982283,0.00003302687,0.001377074,0.000006233121,8.771279e-7,0.00002455247,0.0001175346,0.00000276999,0.0002096296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117516,"threshold_uncertainty_score":0.2222022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340889479252089,"score_gpt":0.2381117804582808,"score_spread":0.2247028856657599,"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."}}