{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143606,0.00006073879,0.00007760633,0.0000198937,0.0000675784,0.000004773457,0.00008417354,0.000003775991,0.00007826848],"category_scores_gemma":[0.000004545373,0.00004434101,0.0000167086,0.0001126521,0.00002657974,0.00001147335,0.0002002511,0.00005123484,3.311494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660353,"about_ca_system_score_gemma":0.0000192948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9059895,"about_ca_topic_score_gemma":0.4523751,"domain_scores_codex":[0.9993023,0.0001128009,0.0001308953,0.0001097906,0.0002395553,0.0001046436],"domain_scores_gemma":[0.9997621,0.0000337057,0.00007725591,0.0001067646,9.569781e-7,0.00001928674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001778676,0.00005576919,0.1891148,0.000003100206,0.00002790095,0.000002472335,0.00148097,0.8030691,0.0005805616,0.00007670831,0.0000109431,0.005399876],"study_design_scores_gemma":[0.002285044,0.0006027538,0.9020182,0.000006519816,0.00001350748,0.000001327626,0.005170281,0.08914214,0.0005066755,0.0001710286,0.000005293509,0.00007719534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946153,0.000006504839,8.459754e-7,0.00007894408,0.00003140458,0.0003569793,0.000006066783,0.000001806089,0.00490219],"genre_scores_gemma":[0.9998598,0.00000237306,0.00001081973,0.00003221084,0.000002625222,0.00005313264,0.000006585903,0.000004308301,0.00002815593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7139269,"threshold_uncertainty_score":0.5576176,"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."}}