{"id":"W2083679619","doi":"10.1007/s11269-012-0103-4","title":"Integrated Reservoir Management System for Flood Risk Assessment Under Climate Change","year":2012,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Climate change; Environmental science; Flood myth; Structural basin; Hydrogeology; Hydrology (agriculture); Drainage basin; Hydrological modelling; Water resource management; Climatology; Geology; Geography; Geomorphology; Geotechnical engineering; Oceanography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009494929,0.000528753,0.0003779494,0.0005301732,0.0003572993,0.0003244048,0.0005486028,0.0001108578,0.00007017198],"category_scores_gemma":[0.00000105292,0.0004078629,0.0001867635,0.0003062158,0.00003610691,0.0005468068,0.0005247304,0.0001900165,0.0002411314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003902191,"about_ca_system_score_gemma":5.456146e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002392671,"about_ca_topic_score_gemma":0.000007890128,"domain_scores_codex":[0.9969352,0.0001120988,0.0005846075,0.000474451,0.0004936292,0.00139997],"domain_scores_gemma":[0.9989243,0.00001742325,0.00009960488,0.0007103252,0.00004539292,0.0002030078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007265465,0.001670563,0.03258815,0.03114797,0.009494746,0.0001534246,0.02038061,0.7160095,0.0002033137,0.05226901,0.02005634,0.1152998],"study_design_scores_gemma":[0.003357636,0.0001380856,0.01317803,0.0005300296,0.001262934,0.000004226993,0.006208071,0.1390065,0.0009882974,0.0002451945,0.8336722,0.001408793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532869,0.001056728,0.2212961,0.0005542429,0.003702411,0.01072737,0.0001814937,0.005176981,0.2040178],"genre_scores_gemma":[0.978753,0.0005115903,0.01544616,0.0001162528,0.0005333333,0.002052725,0.0004146638,0.0001963303,0.001975899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8136159,"threshold_uncertainty_score":0.9998373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955406816719199,"score_gpt":0.223019296164352,"score_spread":0.20346522799716,"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."}}