{"id":"W2807860058","doi":"10.1371/journal.pone.0198470","title":"The quantity of food waste in the garbage stream of southern Ontario, Canada households","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"","keywords":"Food waste; Garbage; Waste stream; Household waste; Waste management; Environmental science; Municipal solid waste; Mixed waste; Geography; Hazardous waste; Engineering","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":[0.0003040687,0.000362004,0.0002953302,0.001718153,0.003000848,0.001357718,0.0007294564,0.0001904279,0.002228767],"category_scores_gemma":[0.00109049,0.0003012484,0.0003660005,0.00601798,0.0008306116,0.000394724,0.0007639352,0.0002133242,0.0002611609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03884212,"about_ca_system_score_gemma":0.0337387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979693,"about_ca_topic_score_gemma":0.9992647,"domain_scores_codex":[0.9994602,0.00002439496,0.0000295076,0.00009558092,0.0002683324,0.0001220611],"domain_scores_gemma":[0.9987755,0.00005083752,0.0001904536,0.00002863194,0.0007823118,0.0001721692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001351914,0.00001751069,0.9600033,0.000297996,0.00008976649,0.0003608755,0.01072229,0.0005539387,0.00185095,0.0004336145,0.004268604,0.02126584],"study_design_scores_gemma":[0.000003540408,0.00001283759,0.9871721,0.00005041903,0.0000189137,0.00004223369,0.008169949,0.0002325357,0.0001808284,0.0000375177,0.004064937,0.00001438681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815961,0.0008195024,0.0002563963,0.0003367469,0.000008248262,0.00006879818,0.009286038,0.00002469557,0.007603506],"genre_scores_gemma":[0.9886562,0.00114171,0.0006502257,0.00009488463,0.000004219873,0.00005717892,0.003758614,0.00001044506,0.005626604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03884212,"threshold_uncertainty_score":0.2818207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770398556243026,"score_gpt":0.1877317021447284,"score_spread":0.1500277165822982,"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."}}