{"id":"W2900639259","doi":"10.1080/0305215x.2018.1536753","title":"Inexact rough-interval type-2 fuzzy stochastic optimization model supporting municipal solid waste management under uncertainty","year":2018,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Northern British Columbia","funders":"Henan University; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Interval (graph theory); Municipal solid waste; Fuzzy logic; Type (biology); Mathematical optimization; Solid waste management; Mathematics; Computer science; Waste management; Engineering; Artificial intelligence; Geology","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":[0.001873949,0.000374123,0.00043019,0.0007715187,0.0002522581,0.0005629516,0.0008377025,0.0001597285,0.000528214],"category_scores_gemma":[0.00173502,0.0003483859,0.0001258627,0.001407786,0.00006407097,0.0008134132,0.0004408704,0.0002107156,0.0001275772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161061,"about_ca_system_score_gemma":0.0000488584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001168343,"about_ca_topic_score_gemma":0.000004906058,"domain_scores_codex":[0.9959143,0.0001019393,0.001251507,0.0008101668,0.001324392,0.0005976895],"domain_scores_gemma":[0.9973962,0.000335642,0.000425135,0.000929057,0.0007304858,0.000183436],"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":[0.00006305688,0.00003595975,0.000005226766,0.000009439652,0.00003427525,0.000005440079,0.0005768218,0.9969482,0.00007826262,0.0008082039,0.0004752746,0.0009598443],"study_design_scores_gemma":[0.0005730694,0.00007041361,0.00001326956,0.00009577445,0.00003560204,0.00001053031,0.0003828366,0.9978763,0.00003568514,0.000463142,0.00007469993,0.0003686682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01316867,0.00002592882,0.983739,0.0001375262,0.001354603,0.0004018622,0.00001071346,0.0002598295,0.0009019207],"genre_scores_gemma":[0.7020711,0.000006288393,0.2965738,0.0001397263,0.0002697192,0.00001819885,0.00004905925,0.00006768481,0.0008043968],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6889024,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08180019776179873,"score_gpt":0.3792532534148086,"score_spread":0.2974530556530098,"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."}}