{"id":"W2041316656","doi":"10.1504/ijdats.2015.067700","title":"Selection of hazardous industrial waste transportation firm using extended VIKOR method under fuzzy environment","year":2015,"lang":"en","type":"article","venue":"International Journal of Data Analysis Techniques and Strategies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hazardous waste; Fuzzy logic; Selection (genetic algorithm); Site selection; Fuzzy set; VIKOR method; Process (computing); Computer science; Waste management; Risk analysis (engineering); Engineering; Business","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":[0.0018141,0.0009466985,0.001632777,0.001477731,0.0007445099,0.001925907,0.001675532,0.00142307,0.002232415],"category_scores_gemma":[0.002146795,0.0005710389,0.001338491,0.001168435,0.0005525008,0.00113016,0.0009469321,0.0007702649,0.0002057877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472699,"about_ca_system_score_gemma":0.00169193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009844923,"about_ca_topic_score_gemma":0.006835531,"domain_scores_codex":[0.9989856,0.0004345227,0.00005146251,0.0001564844,0.0002323648,0.0001395843],"domain_scores_gemma":[0.9989058,0.0006352919,0.0001413003,0.00002908137,0.0002230009,0.00006549921],"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":[0.00004131294,0.00004223142,0.001133906,0.00006677749,0.00004140432,0.0001681147,0.00007561961,0.9803869,0.001012576,0.004132295,0.0002403445,0.01265851],"study_design_scores_gemma":[0.00000505665,0.00001764673,0.0001105954,0.000004108409,0.000005621317,0.00001504843,0.00001502607,0.9989181,0.00009501709,0.0007321008,0.00007632835,0.0000052676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09682547,0.0003251862,0.8981125,0.000246647,0.00003029246,0.0001920598,0.00008163926,0.00008090171,0.004105228],"genre_scores_gemma":[0.8330546,0.000427541,0.161803,0.00006822809,0.00003181816,0.0004178205,0.0001698067,0.00002519247,0.004002081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009844923,"threshold_uncertainty_score":0.01957524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3813847080979488,"score_gpt":0.5034303262233883,"score_spread":0.1220456181254395,"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."}}