{"id":"W3096081887","doi":"10.1016/j.jglr.2020.10.010","title":"Application of dynamic contributing area for modelling the hydrologic response of the Assiniboine River Basin to a changing climate","year":2020,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Victoria; University of Manitoba; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Streamflow; Environmental science; Soil and Water Assessment Tool; Surface runoff; Precipitation; SWAT model; Hydrology (agriculture); Drainage basin; Climate change; Hydrological modelling; Water resources; Structural basin; Pothole (geology); Climatology; Meteorology; Geology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003698945,0.0006804908,0.0003733586,0.0004078567,0.0005162002,0.001086255,0.001005758,0.001215493,0.001265247],"category_scores_gemma":[0.001058512,0.0003860222,0.0006439644,0.0004868729,0.0004457103,0.0005919887,0.0007161576,0.000618918,0.00008849629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290605,"about_ca_system_score_gemma":0.001439264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07210313,"about_ca_topic_score_gemma":0.06375879,"domain_scores_codex":[0.9998614,0.00003816561,0.000008063875,0.00004721929,0.00001988085,0.00002520772],"domain_scores_gemma":[0.9996872,0.0001482565,0.00003849134,0.00002405572,0.00006151848,0.00004057826],"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":[0.00001294475,0.00001719027,0.00215362,0.000005599447,0.000009806018,0.00002896036,0.00001260426,0.9959469,0.0003827705,0.0003000079,0.00006275549,0.001066783],"study_design_scores_gemma":[0.000005589291,0.000007846083,0.0005551092,0.000001359657,0.000003311153,0.000004201936,0.000008178336,0.9990809,0.00008011113,0.0001219399,0.0001286914,0.000002855357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690516,0.000135312,0.02449957,0.0002484027,0.00004785203,0.00009037618,0.0007084044,0.000253889,0.004964636],"genre_scores_gemma":[0.9882619,0.00006904339,0.01014603,0.00002607409,0.00001054737,0.00005404558,0.0002768874,0.00002582838,0.001129738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9278969,"threshold_uncertainty_score":0.1433669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230825177107351,"score_gpt":0.3178913105394581,"score_spread":0.2655830587683846,"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."}}