{"id":"W1996820502","doi":"10.1007/s00477-008-0258-y","title":"Multistage scenario-based interval-stochastic programming for planning water resources allocation","year":2008,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Water resources management and optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Computer science; Reliability (semiconductor); Stochastic programming; Mathematical optimization; Context (archaeology); Constraint (computer-aided design); Range (aeronautics); Set (abstract data type); Sensitivity (control systems); Interval arithmetic; Operations research; Linear programming; System dynamics; Mathematics; Engineering; Artificial intelligence; Algorithm","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":[0.003968979,0.001293787,0.001713591,0.001182783,0.0005122357,0.001648303,0.002022225,0.001855445,0.0043834],"category_scores_gemma":[0.005754379,0.002025833,0.001705662,0.00164838,0.0008303442,0.002143472,0.001393869,0.001657002,0.0002741301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983816,"about_ca_system_score_gemma":0.0016462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205174,"about_ca_topic_score_gemma":0.01011368,"domain_scores_codex":[0.9984854,0.00093783,0.00005072097,0.0001335265,0.0002237812,0.0001687886],"domain_scores_gemma":[0.9971697,0.002246049,0.0001870155,0.0000710067,0.0001909626,0.0001353818],"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":[0.00002297752,0.00001275204,0.00008698958,0.00001221118,0.00001553551,0.00001210843,0.000006026606,0.9965163,0.00007030543,0.001914588,0.00007670386,0.001253414],"study_design_scores_gemma":[0.000003734134,0.00001230343,0.00003850107,0.000002020332,0.000003843575,0.000001940165,0.000001781751,0.9985982,0.00003337218,0.00125863,0.00004314437,0.000002499829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05643458,0.0003843111,0.9375544,0.0002593434,0.00005987919,0.0001597503,0.0004001015,0.0002524186,0.004495158],"genre_scores_gemma":[0.8520869,0.0003562375,0.1429757,0.00007884769,0.00004911861,0.0005732374,0.0005408211,0.00009186757,0.003247214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01205174,"threshold_uncertainty_score":0.02396315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835063751538967,"score_gpt":0.2893039640143332,"score_spread":0.2609533264989435,"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."}}