{"id":"W3004637573","doi":"10.1016/j.scitotenv.2020.137213","title":"Modifying SWAT-CS for simulating chloride dynamics in a Boreal Shield headwater catchment in south-central Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University; Ministry of Environment","funders":"Xiamen University of Technology; Natural Science Foundation of Fujian Province","keywords":"Chloride; Snowpack; SWAT model; Hydrology (agriculture); Environmental science; Drainage basin; Snowmelt; Soil and Water Assessment Tool; Snow; Streamflow; Chemistry; Geology; Geography; Geomorphology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004329417,0.0008352606,0.0005136411,0.0006138143,0.001756155,0.001462908,0.001685448,0.001331912,0.002777991],"category_scores_gemma":[0.001423073,0.0005846524,0.0006345251,0.0009650132,0.0008639136,0.0005572732,0.0005147348,0.0007189233,0.0002604741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132563,"about_ca_system_score_gemma":0.01557729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836274,"about_ca_topic_score_gemma":0.9869177,"domain_scores_codex":[0.9997627,0.00002646152,0.00001522498,0.00005549635,0.00005186511,0.00008825053],"domain_scores_gemma":[0.9992539,0.0001500687,0.00004141426,0.00003031794,0.0003773231,0.0001468689],"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":[0.0002802267,0.0004587319,0.07313395,0.00007000659,0.00008140027,0.0003219855,0.0002620249,0.9103438,0.002673235,0.0004901764,0.002681357,0.009203036],"study_design_scores_gemma":[0.0001522539,0.00004081297,0.02321843,0.00000824368,0.00002472452,0.00001241096,0.0003857318,0.9746127,0.0005913593,0.00008512662,0.0008385907,0.00002960863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945687,0.00004065835,0.0008931109,0.000124429,0.0000166845,0.00006067199,0.001138617,0.0002847467,0.002872433],"genre_scores_gemma":[0.9944489,0.000039165,0.002460612,0.00003857229,0.000004039699,0.00002560692,0.0009760462,0.00004062693,0.001966482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637256,"threshold_uncertainty_score":0.09618163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269342405123376,"score_gpt":0.1967971781241113,"score_spread":0.1841037540728776,"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."}}