{"id":"W2001016876","doi":"10.1016/j.apm.2009.12.012","title":"A fuzzy-robust stochastic multiobjective programming approach for petroleum waste management planning","year":2009,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Water resources management and optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic programming; Fuzzy logic; Mathematical optimization; Robustness (evolution); Linear programming; Minification; Hazardous waste; Computer science; Robust optimization; Operations research; Engineering; Waste management; 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":[0.002066827,0.0009097686,0.001520631,0.0009620769,0.0004544783,0.001435058,0.001685905,0.001555505,0.002287145],"category_scores_gemma":[0.003140311,0.0007781127,0.001491565,0.0009822489,0.0006953471,0.001200008,0.001044379,0.0009404411,0.0002254355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131411,"about_ca_system_score_gemma":0.001377277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008722601,"about_ca_topic_score_gemma":0.006418194,"domain_scores_codex":[0.9993425,0.000236355,0.00003515533,0.00009660238,0.0002298164,0.00005952442],"domain_scores_gemma":[0.999156,0.0005088937,0.00009102208,0.00003303947,0.0001703626,0.00004069055],"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":[0.0000119498,0.00001257568,0.00004104145,0.00002002262,0.00002195178,0.00001863414,0.000006758565,0.9886677,0.0003008075,0.004739966,0.000124144,0.006034506],"study_design_scores_gemma":[0.00000230135,0.000007156296,0.00001578203,0.000001734662,0.000003186736,0.000002562444,0.000001114862,0.9985239,0.00005113089,0.001317721,0.00007129087,0.000002131497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009018765,0.0002327402,0.9881495,0.0001524855,0.00003896779,0.00003528513,0.00004583399,0.00007629574,0.002250133],"genre_scores_gemma":[0.6314574,0.0004797142,0.3628161,0.0001437572,0.0001367353,0.000275607,0.0001596983,0.0001164244,0.004414603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008722601,"threshold_uncertainty_score":0.01734364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510435957021777,"score_gpt":0.2134920777588329,"score_spread":0.1883877181886152,"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."}}