{"id":"W4402205275","doi":"10.1016/j.heliyon.2024.e37208","title":"Evaluation of the impact of hydrological changes on reservoir water management: A comparative analysis the CanESM5 model and the optimized SWAT-SVR-LSTM","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Inflow; Environmental science; Precipitation; Climate change; Hydroelectricity; SWAT model; Hydrology (agriculture); Soil and Water Assessment Tool; Streamflow; Climatology; Meteorology; Civil engineering; Drainage basin; Engineering; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008891082,0.0008768631,0.0005802302,0.0004090778,0.0003639504,0.0007733046,0.0009417501,0.0008020125,0.001391834],"category_scores_gemma":[0.001354048,0.0002844024,0.0006129818,0.0004468758,0.0003054765,0.0005603288,0.0003809895,0.0006380493,0.0001504889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306462,"about_ca_system_score_gemma":0.002889978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2373931,"about_ca_topic_score_gemma":0.2052229,"domain_scores_codex":[0.9998001,0.00005339115,0.00001191879,0.00003683816,0.00004596985,0.00005171922],"domain_scores_gemma":[0.999642,0.0001384128,0.00002930224,0.00002830193,0.0001312542,0.00003070605],"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":[0.00007117901,0.00004915177,0.004118814,0.00003872102,0.00004312826,0.00004078822,0.00001650085,0.9869683,0.000982834,0.0003270757,0.0004684905,0.006875124],"study_design_scores_gemma":[0.000008926606,0.00002130819,0.0009862251,0.000002514927,0.000008518997,0.000002631974,0.00001177414,0.9982765,0.0004756854,0.00005067463,0.0001496905,0.000005590396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552158,0.0005086863,0.0343865,0.0005052478,0.0001034532,0.00008060139,0.001458456,0.001143303,0.006597999],"genre_scores_gemma":[0.9904788,0.0001149417,0.007730716,0.00004201432,0.000007330101,0.00002991855,0.0006998829,0.00005357712,0.0008429195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373931,"threshold_uncertainty_score":0.4720225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875325531526931,"score_gpt":0.3118989666925493,"score_spread":0.26314571137728,"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."}}