{"id":"W4307134480","doi":"10.3390/fermentation8100566","title":"Food Waste Treatments and the Impact of Composting on Carbon Footprint in Canada","year":2022,"lang":"en","type":"article","venue":"Fermentation","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Food waste; Carbon footprint; Waste management; Green waste; Environmental science; Municipal solid waste; Mechanical biological treatment; Greenhouse gas; Anaerobic digestion; Waste treatment; Biodegradable waste; Ecological footprint; Waste collection; Engineering; Compost; Sustainability; Methane; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000440793,0.0003120748,0.0002864048,0.001779684,0.002520152,0.00140765,0.0005456203,0.0002123285,0.001290943],"category_scores_gemma":[0.0008781357,0.0001665159,0.0004108985,0.005616145,0.0007375762,0.0002820666,0.0004486345,0.0003324705,0.0001001706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05729706,"about_ca_system_score_gemma":0.04137407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949334,"about_ca_topic_score_gemma":0.9981,"domain_scores_codex":[0.9990216,0.00005376831,0.00003714618,0.00008149142,0.0005569943,0.0002488909],"domain_scores_gemma":[0.9987495,0.00008654574,0.0001180842,0.00002458742,0.00092117,0.0001000788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002469698,0.0005063354,0.6481292,0.001301401,0.0004562926,0.00165352,0.003705032,0.03256297,0.06847277,0.005030028,0.007821845,0.2278909],"study_design_scores_gemma":[0.00002671819,0.0002494587,0.9313291,0.000119538,0.0001312047,0.0001693967,0.005394423,0.007652813,0.03064858,0.0004020877,0.0237812,0.00009555229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837222,0.00130804,0.0004056865,0.0002334267,0.000007797924,0.00004447288,0.002227226,0.00004812583,0.01200311],"genre_scores_gemma":[0.9936632,0.001176989,0.0009325315,0.00005182473,0.000001237284,0.00001081784,0.0008364426,0.00001618994,0.003310824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05729706,"threshold_uncertainty_score":0.4157212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117235160205583,"score_gpt":0.2303605169147416,"score_spread":0.2186370008941833,"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."}}