{"id":"W4385949220","doi":"10.3390/waste1030041","title":"Potential for Thermo-Chemical Conversion of Solid Waste in Canada to Fuel, Heat, and Electricity","year":2023,"lang":"en","type":"article","venue":"Waste","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waste management; Municipal solid waste; Environmental science; Refuse-derived fuel; Heat of combustion; Electricity generation; Combustion; Raw material; Electricity; Greenhouse gas; Incineration; Moisture; Environmental engineering; Engineering; Materials science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003340091,0.0005794322,0.0002509479,0.001191713,0.00147303,0.001802814,0.0004829533,0.0003796226,0.002003586],"category_scores_gemma":[0.0002957467,0.000150752,0.0006009627,0.002813441,0.0005367535,0.0004701972,0.0004511723,0.0004059809,0.0003428723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01453294,"about_ca_system_score_gemma":0.01146693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8106325,"about_ca_topic_score_gemma":0.9272349,"domain_scores_codex":[0.9994724,0.00002496111,0.00001308289,0.00004582848,0.0002538471,0.0001897939],"domain_scores_gemma":[0.9998237,0.00001406377,0.00001959523,0.000005978791,0.000113754,0.00002296848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001401611,0.0002973386,0.1227095,0.001372767,0.000250513,0.002564025,0.0006677556,0.03974344,0.4707714,0.01249354,0.004782173,0.342946],"study_design_scores_gemma":[0.00004517248,0.000545069,0.1678626,0.0004015375,0.0004269085,0.0007389382,0.004856663,0.01707581,0.7277589,0.003131002,0.0769934,0.0001638323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592749,0.005197329,0.002829264,0.000612386,0.00002891466,0.00005580734,0.001551725,0.00009900331,0.03035056],"genre_scores_gemma":[0.9862518,0.004018884,0.002072784,0.00005315559,0.000003665295,0.00001148535,0.000850526,0.0000167046,0.006721057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1893675,"threshold_uncertainty_score":0.3809655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005441513250717205,"score_gpt":0.1946751963574739,"score_spread":0.1892336831067567,"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."}}