{"id":"W2072188083","doi":"10.1007/s00477-012-0629-2","title":"A dual two-stage stochastic model for flood management with inexact-integer analysis under multiple uncertainties","year":2012,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Water resources management and optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dual (grammatical number); Mathematical optimization; Flood myth; Integer programming; Stochastic programming; Context (archaeology); Computer science; Integer (computer science); Linear programming; Stage (stratigraphy); Binary number; Operations research; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002129739,0.0009663472,0.001905009,0.0006477945,0.000530523,0.002081454,0.002025463,0.002706425,0.003369838],"category_scores_gemma":[0.003883687,0.001252071,0.001233693,0.0006427761,0.001280504,0.001699153,0.002275274,0.002190202,0.0002838541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370061,"about_ca_system_score_gemma":0.002050911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009204855,"about_ca_topic_score_gemma":0.005123449,"domain_scores_codex":[0.999241,0.0002822476,0.00003460203,0.0001634483,0.0001468115,0.0001320838],"domain_scores_gemma":[0.9984863,0.000923512,0.0001891959,0.00005685302,0.0002199159,0.0001241717],"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":[0.00003957907,0.00001701809,0.0001291312,0.00002341871,0.0000119002,0.00002666563,0.00001415198,0.9925339,0.0002341506,0.005484413,0.0001242744,0.001361435],"study_design_scores_gemma":[0.000004044971,0.000006464777,0.00001850654,0.00000141805,0.000002959494,0.000001918332,0.000001489807,0.9991616,0.00003519452,0.0007102916,0.00005383937,0.000002260192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03418355,0.0002921984,0.9599233,0.0005408047,0.00008824051,0.00005522003,0.0001911112,0.0001141009,0.004611594],"genre_scores_gemma":[0.9139071,0.000292216,0.07420396,0.0001673585,0.00007832903,0.0002373059,0.0002579663,0.00007705503,0.01077866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009204855,"threshold_uncertainty_score":0.01830256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253311293888015,"score_gpt":0.2886721261210993,"score_spread":0.2633409967322978,"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."}}