{"id":"W2013059839","doi":"10.1139/l08-131","title":"Interval-parameter robust optimization for environmental management under uncertainty","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic programming; Robustness (evolution); Robust optimization; Mathematical optimization; Interval (graph theory); Linear programming; Computer science; Stochastic optimization; Interval arithmetic; Uncertainty analysis; Mathematics; Simulation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001045672,0.0001398301,0.0001432152,0.0003558158,0.00003863872,0.00007855659,0.0001559772,0.00004625133,0.0001379106],"category_scores_gemma":[0.000007033731,0.0001474012,0.00008703752,0.00009611145,0.000008730484,0.0002051885,0.00000472119,0.00009349039,0.000002507831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250897,"about_ca_system_score_gemma":0.000009275926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005631674,"about_ca_topic_score_gemma":0.0003798836,"domain_scores_codex":[0.9993017,0.000004654861,0.0002622485,0.00007889766,0.0000923299,0.0002602157],"domain_scores_gemma":[0.9996332,0.00001312075,0.00004420348,0.0000942848,0.00001522094,0.0001999941],"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":[0.000003673945,0.000003792569,0.00002623439,0.00003151001,0.00006393859,0.00001333159,0.00007843212,0.9965181,0.00002466951,0.00009037181,0.001109619,0.002036282],"study_design_scores_gemma":[0.0004032273,0.00005880887,0.0003939562,0.00007291209,0.00004895721,0.00001420897,0.00005377055,0.9912423,0.00003788142,0.00005232131,0.007452098,0.0001695078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006561763,0.0003734547,0.990099,0.0001004466,0.0004399606,0.0001888824,0.000008384208,0.00004190404,0.002186254],"genre_scores_gemma":[0.9847455,0.00005025569,0.01476986,0.00007283873,0.000123135,0.000003966107,0.00002427571,0.00003207657,0.0001780733],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9781837,"threshold_uncertainty_score":0.6010848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008211912180175703,"score_gpt":0.1619034254160118,"score_spread":0.1536915132358361,"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."}}