{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004928886,0.0000533733,0.00007987296,0.00004191967,0.000009204451,0.000004872782,0.00006194573,0.00004485267,0.0002219218],"category_scores_gemma":[0.000007773081,0.0000366351,0.00001300063,0.0001231697,0.0000841153,0.00005828275,0.00003429667,0.00005559038,0.0001307844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006323618,"about_ca_system_score_gemma":0.000008260032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002389867,"about_ca_topic_score_gemma":0.0002293303,"domain_scores_codex":[0.9993237,0.00007417542,0.00009978184,0.0001596668,0.0002174954,0.0001252123],"domain_scores_gemma":[0.9998503,0.00001794933,0.00001447971,0.00009421758,0.000004619333,0.00001846526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004746822,0.00003645588,0.9744653,0.000009681269,0.00001414283,0.0000197495,0.00114334,0.01887795,0.0009153188,0.00005241681,0.000130133,0.0042881],"study_design_scores_gemma":[0.001189209,0.00026344,0.1742575,0.00001850761,0.00008304525,0.00002883663,0.00003245377,0.799064,0.001074994,0.02202447,0.001820084,0.000143443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951601,0.00003072211,0.0000602296,0.0003579616,0.00007874423,0.0001042461,0.000001391512,0.00001584455,0.004190776],"genre_scores_gemma":[0.9997842,0.000004738236,0.00004890547,0.00004069508,0.00001092982,0.0000131441,0.00001303414,0.000005446775,0.0000788899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8002077,"threshold_uncertainty_score":0.2429888,"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."}}