{"id":"W3090544019","doi":"10.5194/egusphere-egu2020-12073","title":"Scenario Analysis of Cooperation Dynamics on the Columbia River under Changing Conditions using Socio-Hydrological Modelling","year":2020,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Treaty; Downstream (manufacturing); River flood; Incentive; Flood myth; Environmental science; Business; Natural resource economics; Environmental resource management; Geography; Political science; Ecology; Economics; Law","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":[0.001230553,0.0007211379,0.0005385256,0.001403259,0.001124287,0.001478664,0.001632473,0.00148929,0.003476899],"category_scores_gemma":[0.002425333,0.0003519541,0.0009833163,0.001894634,0.0008171791,0.001023592,0.001126323,0.001462516,0.0002042674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006159285,"about_ca_system_score_gemma":0.003306589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4047452,"about_ca_topic_score_gemma":0.3502736,"domain_scores_codex":[0.9994754,0.0002485769,0.0000156632,0.00006501706,0.00005738939,0.000137924],"domain_scores_gemma":[0.998612,0.0006560243,0.0001124434,0.0000898931,0.0002494691,0.0002800145],"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":[0.00006007648,0.00007277092,0.009111508,0.00001749022,0.00003729796,0.0002596186,0.00007390224,0.9844818,0.0001788266,0.003077453,0.001407108,0.001222028],"study_design_scores_gemma":[0.0000215086,0.00002378007,0.003629474,0.000005518831,0.00001177572,0.000009861205,0.000208599,0.9948531,0.00005697583,0.0006846309,0.0004785043,0.00001638125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802859,0.00006696631,0.003435333,0.0007339481,0.00002359175,0.0001157262,0.004460921,0.0001331909,0.01074426],"genre_scores_gemma":[0.9960276,0.00005365642,0.001515074,0.00002933749,0.000004165948,0.00008310049,0.001348532,0.00001063005,0.0009280464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4047452,"threshold_uncertainty_score":0.8047786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364430628144585,"score_gpt":0.2404658616711389,"score_spread":0.196821555389693,"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."}}