{"id":"W1599755550","doi":"10.1029/2005wr004619","title":"Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spillage; Trajectory; Mathematical optimization; Stochastic programming; Dynamic programming; Series (stratigraphy); Computer science; Control theory (sociology); Petroleum engineering; Engineering; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001375687,0.0007609744,0.00104547,0.0006301065,0.0002997941,0.0008294478,0.0008390956,0.0008056831,0.002106043],"category_scores_gemma":[0.002515954,0.0005935308,0.0007136253,0.0006233333,0.0007925346,0.001288629,0.0007529323,0.0009202597,0.0001733612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042456,"about_ca_system_score_gemma":0.001477529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991957,"about_ca_topic_score_gemma":0.003314547,"domain_scores_codex":[0.9993737,0.000323902,0.00002140689,0.0000695601,0.0001368986,0.00007445535],"domain_scores_gemma":[0.9990779,0.0006013286,0.0001271109,0.00003466191,0.0001061182,0.00005293305],"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":[0.00001213734,0.000006198513,0.00008079604,0.000008956096,0.00001067093,0.00001245765,0.000006665794,0.9913955,0.0001242021,0.005713321,0.00009158194,0.002537484],"study_design_scores_gemma":[0.000002519286,0.000007835428,0.00002114273,0.000001267142,0.000001244352,0.00000200734,0.000001680243,0.9976243,0.00005547221,0.002175064,0.0001057605,0.000001711711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01545055,0.0002374971,0.9821538,0.0001964555,0.00002307894,0.00002287123,0.00003873289,0.000109274,0.001767687],"genre_scores_gemma":[0.8522694,0.000553185,0.1422568,0.00007731294,0.00006086736,0.0001578755,0.0001432109,0.0001170877,0.004364243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005991957,"threshold_uncertainty_score":0.01191419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381938377021209,"score_gpt":0.2733526894830868,"score_spread":0.2351588517809659,"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."}}