{"id":"W2088637085","doi":"10.1504/ijewm.2009.024696","title":"Urban Food Waste generation: challenges and opportunities","year":2009,"lang":"en","type":"article","venue":"International Journal of Environment and Waste Management","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Urbanization; Food waste; Waste management; Business; Anaerobic digestion; Engineering; Municipal solid waste; Urban waste; Environmental protection; Environmental planning; Natural resource economics; Economic growth; Environmental science; Economics","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":[0.001098414,0.0004007457,0.0004525852,0.0006096032,0.001215962,0.003774651,0.00114473,0.002713853,0.01071271],"category_scores_gemma":[0.0007280386,0.0001980282,0.0003325446,0.001593348,0.001389015,0.003302946,0.002628037,0.0008849681,0.001484638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443166,"about_ca_system_score_gemma":0.002747528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516892,"about_ca_topic_score_gemma":0.004290275,"domain_scores_codex":[0.9995211,0.0001491966,0.00001902666,0.00005622011,0.0001288062,0.0001255748],"domain_scores_gemma":[0.999342,0.0001646618,0.00006502779,0.00002553714,0.0002390037,0.0001637665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004180103,0.0007575217,0.01703387,0.003181749,0.00005679414,0.00273161,0.001890841,0.01529367,0.004492521,0.1160772,0.08469091,0.7533754],"study_design_scores_gemma":[0.00009512705,0.0006606514,0.0114429,0.001261022,0.00006263898,0.003614202,0.06072097,0.02470838,0.005851823,0.2356102,0.6558171,0.0001550383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3391117,0.1422096,0.04174221,0.317548,0.002127697,0.0001996785,0.001189148,0.0005635166,0.1553084],"genre_scores_gemma":[0.8457859,0.09062311,0.01929434,0.005843083,0.001905119,0.0001939031,0.0009706026,0.00008247446,0.03530139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071271,"threshold_uncertainty_score":0.03583759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678520195297375,"score_gpt":0.2146293620663708,"score_spread":0.167844160113397,"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."}}