{"id":"W2052908731","doi":"10.2495/rm070041","title":"Stochastic optimization of multi-reservoir systems with power plants and spillways","year":2007,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Monotonic function; Mathematical optimization; Computer science; Function (biology); Stochastic programming; Piecewise; Routing (electronic design automation); Piecewise linear function; Resource (disambiguation); Linear programming; Bellman equation; Dynamic programming; Mathematics","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":[0.0001341154,0.0000808389,0.00009960722,0.00005949805,0.00008170008,0.000007342063,0.00003386098,0.00004402674,0.00002629113],"category_scores_gemma":[6.294491e-7,0.00005464983,0.00001030423,0.0000254658,0.000118198,0.00003990194,0.000002477386,0.00006604203,0.000002336126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719216,"about_ca_system_score_gemma":7.100944e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004903667,"about_ca_topic_score_gemma":0.0000138577,"domain_scores_codex":[0.9996274,0.00001742782,0.0001129392,0.00008647473,0.0000558196,0.00009999566],"domain_scores_gemma":[0.9998168,0.00004807396,0.00002487464,0.00008315123,0.000002222594,0.00002485626],"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":[0.0001000389,0.00003309885,0.0001404233,0.00001405601,0.00006461941,9.988553e-7,0.0003978637,0.9990073,0.00001007004,0.00004683582,0.000001205025,0.0001834749],"study_design_scores_gemma":[0.002313875,0.0001718344,0.007073356,0.00002006015,0.00006031775,0.000008151423,0.0004447341,0.9895706,0.0001269694,0.000009676755,0.00008950159,0.0001109649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1699487,0.0001152186,0.8294072,0.00002922583,0.0000540865,0.0002587979,0.00000357816,0.00002175656,0.0001613748],"genre_scores_gemma":[0.9988618,0.0001461881,0.0008022435,0.000009658925,0.000003844865,0.00001838166,0.00000344581,0.00001059678,0.0001437941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8289131,"threshold_uncertainty_score":0.2228555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004982142183497277,"score_gpt":0.1565939151469873,"score_spread":0.1516117729634901,"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."}}