{"id":"W3002319297","doi":"10.1002/ghg.1955","title":"An efficient waste management system with municipal solid waste incineration plant","year":2020,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Incineration; Waste management; Municipal solid waste; Exergy; Environmental science; Methane; Ton; Heat of combustion; Combustion; Waste-to-energy; Environmental engineering; Engineering; Chemistry; Geography","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":[0.0001955764,0.000449882,0.0003479787,0.0004481394,0.0004512657,0.0003939284,0.0005716436,0.0003314448,0.001624228],"category_scores_gemma":[0.0001568009,0.0001950715,0.0002545645,0.0005081744,0.0001578331,0.0004881034,0.0003530059,0.0001418727,0.0004407008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005015318,"about_ca_system_score_gemma":0.0005115762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177446,"about_ca_topic_score_gemma":0.001939496,"domain_scores_codex":[0.9997413,0.00005939572,0.0000151283,0.00005753406,0.00008819369,0.00003846502],"domain_scores_gemma":[0.9999105,0.00001293925,0.00001676576,0.00002010847,0.00002971902,0.000009976295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001311904,0.0009723858,0.01993527,0.0005981911,0.0001478551,0.001043197,0.0002680207,0.2249722,0.5408159,0.002962463,0.002042254,0.2049304],"study_design_scores_gemma":[0.0003563882,0.001347471,0.02134782,0.00003465478,0.0002333657,0.0004826881,0.0002157465,0.6072206,0.3538716,0.001321264,0.0134954,0.0000730546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127513,0.0002204149,0.08080079,0.00009353593,0.00001567725,0.0001205263,0.0001515327,0.001635332,0.004210852],"genre_scores_gemma":[0.9901058,0.00003858681,0.008469989,0.000008080724,0.000003310625,0.00003510766,0.000088867,0.00001516596,0.001235128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00177446,"threshold_uncertainty_score":0.005433559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161025168564899,"score_gpt":0.2172930066576977,"score_spread":0.2056827549720487,"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."}}