{"id":"W837505052","doi":"10.1016/j.jhydrol.2015.06.054","title":"Event-based design tool for construction site erosion and sediment controls","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Surface runoff; Environmental science; Storm; Erosion; Sediment; Hydrology (agriculture); Return period; Water quality; Event (particle physics); Soil loss; Environmental resource management; Meteorology; Geology; Geotechnical engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198689,0.001365803,0.0007926528,0.001019054,0.0003509381,0.001158227,0.001599907,0.0008978239,0.01350718],"category_scores_gemma":[0.003789481,0.0006710629,0.0008171475,0.0003765359,0.0003405632,0.0007391911,0.0008559557,0.0008205049,0.001847014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004110626,"about_ca_system_score_gemma":0.0008140443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449922,"about_ca_topic_score_gemma":0.002510144,"domain_scores_codex":[0.999207,0.0002082639,0.00009913042,0.0001251513,0.0002917319,0.00006889455],"domain_scores_gemma":[0.9977173,0.00116216,0.0002183489,0.0002468502,0.0005490328,0.0001063942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001396662,0.0007628029,0.005760704,0.0007543046,0.0003153011,0.0008703568,0.0003690525,0.5937836,0.04528727,0.02148459,0.01256828,0.3166471],"study_design_scores_gemma":[0.0001327192,0.0001828049,0.0004944256,0.00002752542,0.00008696903,0.0001363254,0.00002776452,0.9695985,0.01309641,0.004886521,0.01130242,0.00002756614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004522043,0.00002462118,0.9871871,0.00001848112,0.0000251062,0.0001009969,0.0002259586,0.007014843,0.0008808314],"genre_scores_gemma":[0.2329659,0.000103066,0.758683,0.000104935,0.00003253434,0.0006822131,0.001206168,0.001399717,0.004822612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01350718,"threshold_uncertainty_score":0.04518604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326261714871138,"score_gpt":0.2410410068459381,"score_spread":0.2077783896972267,"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."}}