{"id":"W3217036893","doi":"10.5194/hess-2021-578","title":"Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty","year":2021,"lang":"en","type":"article","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yunnan University; Arizona State University; Purdue Research Foundation; Purdue University; Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Hydropower; Treaty; Flood myth; Flood control; Robustness (evolution); Climate change; Business; Environmental resource management; Environmental economics; Environmental planning; Political science; Economics; Environmental science; Geography; Law; Engineering; Ecology","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":[0.0005864009,0.0003220077,0.0003471118,0.0006049224,0.0009267305,0.001276133,0.001024184,0.001473882,0.00455495],"category_scores_gemma":[0.00221452,0.0003388597,0.0004515249,0.0007040128,0.0009306861,0.0007445336,0.0007306659,0.000960832,0.0002044313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006650317,"about_ca_system_score_gemma":0.003561022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3567698,"about_ca_topic_score_gemma":0.3048858,"domain_scores_codex":[0.9997819,0.00008824834,0.000005122376,0.00003046459,0.00002575284,0.00006847554],"domain_scores_gemma":[0.9988985,0.000551022,0.0001313212,0.00003650692,0.0001682327,0.0002143152],"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":[0.000025432,0.00003197715,0.005144289,0.00000620813,0.00001175898,0.00005857011,0.00003888572,0.9883345,0.0002001638,0.004924068,0.0005782967,0.0006457907],"study_design_scores_gemma":[0.000009855255,0.000009829696,0.001848022,0.000002364548,0.000004557478,0.000004279926,0.00007656628,0.9968591,0.00003068476,0.0008838155,0.0002651725,0.000005872917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719231,0.00006926737,0.006574585,0.001247309,0.000020326,0.00003704349,0.001093559,0.00005945768,0.01897546],"genre_scores_gemma":[0.9964175,0.00003100825,0.0008209256,0.00004038911,0.000004308081,0.00002521785,0.0001722376,0.000009742951,0.002478752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3567698,"threshold_uncertainty_score":0.7093864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656074938778168,"score_gpt":0.2438906096285808,"score_spread":0.2273298602407991,"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."}}