{"id":"W2112210516","doi":"10.1109/fskd.2008.465","title":"An Interval-Parameter Multi-stage Stochastic Chance-Constrained Mixed Integer Programming Model for Inter-basin Water Resources Management Systems under Uncertainty","year":2008,"lang":"en","type":"article","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Stochastic programming; Interval (graph theory); Mathematical optimization; Integer programming; Stage (stratigraphy); Computer science; Integer (computer science); Probability distribution; Mathematics; Statistics","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":[0.0002503673,0.0003997453,0.0003600724,0.0003237554,0.0001550258,0.0002138027,0.0003601154,0.0001114264,0.00003648432],"category_scores_gemma":[0.000006086536,0.0003012278,0.0001425161,0.000123111,0.0000976759,0.0003453277,0.00009853356,0.0001393956,0.00002245884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388504,"about_ca_system_score_gemma":0.000002902278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004275095,"about_ca_topic_score_gemma":0.00004919756,"domain_scores_codex":[0.9981304,0.00004357078,0.0005093529,0.0004639385,0.0002078018,0.0006449847],"domain_scores_gemma":[0.9993058,0.00003143778,0.00005519261,0.0004114135,0.00006871171,0.0001274254],"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":[0.0000620693,0.00009453973,0.00002353068,0.0003241784,0.0001970826,0.000006913695,0.003094618,0.993955,0.0001274408,0.0002325272,0.0001605806,0.001721482],"study_design_scores_gemma":[0.001208667,0.00009765036,0.00001185952,0.0001064962,0.00006204851,0.000004014364,0.00148687,0.994686,0.0002586011,0.00003490544,0.001597658,0.0004452251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601659,0.0000238568,0.8369558,0.00003588616,0.0003027788,0.001443385,0.00001222682,0.0007006857,0.0003594794],"genre_scores_gemma":[0.9612642,0.000006413493,0.02960707,0.00006804703,0.00007207984,0.0005495453,0.0001588492,0.0001023447,0.008171475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8073487,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858097877046239,"score_gpt":0.2510754912202745,"score_spread":0.2024945124498121,"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."}}