{"id":"W4385569899","doi":"10.1007/978-3-031-28193-8_19","title":"Assessment of Climate and Land Use/Cover Change Impacts on Watershed: A Multi-model Ensemble Runoff Simulation Method","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Surface runoff; Environmental science; SWAT model; Watershed; Hydrology (agriculture); Climate change; Land cover; Runoff curve number; Soil and Water Assessment Tool; Runoff model; Drainage basin; Land use; Streamflow; Climatology; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420043,0.0002816415,0.000264116,0.0001403015,0.0002013213,0.00003588209,0.0001221191,0.0001114819,0.00006008178],"category_scores_gemma":[0.00001212596,0.0002436226,0.00003717612,0.00004825017,0.0003322476,0.0004463353,0.0006264206,0.0001638201,0.00005294446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802911,"about_ca_system_score_gemma":0.000003079065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003478259,"about_ca_topic_score_gemma":0.000006672256,"domain_scores_codex":[0.9984562,0.000007553451,0.0002000873,0.000521186,0.0004343712,0.0003806422],"domain_scores_gemma":[0.999546,0.00006669392,0.00008624203,0.0001850363,0.000001839431,0.0001141977],"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":[0.00002358785,0.00005771184,0.03155513,0.000130088,0.00007568872,0.00002670621,0.001077639,0.9423328,0.01798649,0.0008647287,0.00003601093,0.005833413],"study_design_scores_gemma":[0.0003602044,0.0001412646,0.256267,0.00008663822,0.00006355414,0.000002659614,0.00001371858,0.7409505,0.0002461795,0.0001183319,0.001348179,0.0004017015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315338,0.0002037127,0.01532129,0.0003659584,0.0006286193,0.002613672,0.0002772925,0.0003177311,0.04873791],"genre_scores_gemma":[0.9884477,0.001374362,0.003575138,0.0001294416,0.00002120009,0.00001810143,0.00001482984,0.00003786962,0.006381388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247119,"threshold_uncertainty_score":0.9934641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382442083630875,"score_gpt":0.266822409155305,"score_spread":0.2329979883189963,"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."}}