{"id":"W3157786205","doi":"10.1007/s10661-021-09063-5","title":"Eco-efficiency evaluation in wastewater treatment plants considering greenhouse gas emissions through the data envelopment analysis-tolerance model","year":2021,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University Hospital; London Health Sciences Centre","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Data envelopment analysis; Greenhouse gas; Environmental science; Eco-efficiency; Sample (material); Environmental engineering; Environmental economics; Statistics; Mathematics; Economics; Sustainability; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.002068453,0.0002721389,0.0004219463,0.000184399,0.0005514403,0.00030969,0.0005905688,0.00006424175,0.0001236375],"category_scores_gemma":[0.00008723341,0.0001782839,0.0001107797,0.0005392864,0.000133533,0.0004028311,0.0005867333,0.0002024399,0.00001847909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042043,"about_ca_system_score_gemma":0.0001815624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052904,"about_ca_topic_score_gemma":0.00006930763,"domain_scores_codex":[0.9953744,0.0004661923,0.0007759284,0.001136855,0.001858343,0.0003882701],"domain_scores_gemma":[0.9976326,0.0004959628,0.0002230085,0.001526192,0.00001695639,0.0001052687],"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":[0.00001123334,0.0008920086,0.1926283,0.000002527013,0.0002574236,0.00005459816,0.003951378,0.7418727,0.009480506,0.0000214476,0.00004383503,0.05078406],"study_design_scores_gemma":[0.000684485,0.00004388802,0.08092184,0.00004072929,0.0003463643,0.00001128861,0.006307764,0.901765,0.007582827,0.0005942723,0.001418337,0.0002831453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941048,0.001092398,0.003162864,0.0006567703,0.0002269441,0.0002426773,0.00005462481,0.00001712989,0.0004417936],"genre_scores_gemma":[0.992236,0.000944992,0.006210932,0.00002702005,0.00006015274,0.00004702694,0.00007134526,0.00001319225,0.0003894063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598924,"threshold_uncertainty_score":0.7270204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538216835553517,"score_gpt":0.403735094693578,"score_spread":0.2499134111382264,"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."}}