{"id":"W4390890255","doi":"10.26480/jwbm.01.2023.08.14","title":"CONVERSION OF KITCHEN FOOD WASTE TO HALAL ORGANIC FERTILIZERS","year":2023,"lang":"en","type":"article","venue":"Journal of Wastes and Biomass Management","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Compost; Food waste; Fertilizer; Context (archaeology); Environmental science; Municipal solid waste; Environmentally friendly; Agriculture; Waste management; Green waste; Biodegradable waste; Mechanical biological treatment; Organic fertilizer; Agricultural science; Green food; Agricultural waste; Business; Toxicology; Raw material; Engineering; Agronomy; Waste collection; Geography; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163453,0.0003756038,0.0004122931,0.0004439335,0.000329143,0.0004141384,0.0004336699,0.000250186,0.001760279],"category_scores_gemma":[0.0001972546,0.0001084091,0.000468584,0.0005227547,0.0002406922,0.000205235,0.00032431,0.0003308535,0.0003527257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549156,"about_ca_system_score_gemma":0.0004904865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525261,"about_ca_topic_score_gemma":0.01132782,"domain_scores_codex":[0.9997397,0.00003307807,0.0000192553,0.00006269218,0.00009596666,0.00004927152],"domain_scores_gemma":[0.9998595,0.0000218523,0.00004248996,0.00001718219,0.0000276415,0.00003138447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005608275,0.0002683052,0.002761833,0.0003747528,0.00002304613,0.0004472669,0.00009659999,0.0004795901,0.9810008,0.00008769664,0.00004577521,0.01385342],"study_design_scores_gemma":[0.00002913621,0.003219605,0.03094233,0.00006088511,0.00005323704,0.0003680372,0.0003541743,0.0006605295,0.9596057,0.00009533999,0.004592139,0.00001892537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971787,0.0001846225,0.0007932921,0.00001345371,0.000008755738,0.00009215201,0.0001590153,0.00002156161,0.001548462],"genre_scores_gemma":[0.990321,0.0003628656,0.005569203,0.00003554538,0.000004288849,0.00009406781,0.0003651504,0.00001744568,0.00323063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003525261,"threshold_uncertainty_score":0.007009447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427500975937224,"score_gpt":0.2112878519809,"score_spread":0.1970128422215278,"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."}}