{"id":"W3060023324","doi":"10.1016/j.resconrec.2020.105111","title":"Impact of COVID-19 on household waste flows, diversion and reuse: The case of multi-residential buildings in Toronto, Canada","year":2020,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Trillium Foundation","keywords":"Garbage; Reuse; Business; Coronavirus disease 2019 (COVID-19); Municipal solid waste; Environmental planning; Consumption (sociology); Waste management; Engineering; Environmental science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002175406,0.00007197092,0.0001317577,0.000007603847,0.0001420954,0.00001737162,0.00008191299,0.00004587559,0.0000203525],"category_scores_gemma":[0.0004615453,0.00002786278,0.00003635905,0.0001398705,0.0000688259,0.00005737013,0.00006987733,0.00007027008,1.571071e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009255359,"about_ca_system_score_gemma":0.00004422274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7771382,"about_ca_topic_score_gemma":0.5496427,"domain_scores_codex":[0.9993357,0.0001180726,0.0002067853,0.0001567322,0.00009186834,0.00009084911],"domain_scores_gemma":[0.9994557,0.0002429478,0.0001117599,0.00004447584,0.00003544653,0.0001096519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002158364,0.0002886415,0.6804705,0.0005813943,0.0001253769,0.0002027015,0.01943159,0.009001463,0.1651337,0.0002376157,0.003038167,0.1193305],"study_design_scores_gemma":[0.002399503,0.00134863,0.6628826,0.0001506963,0.00005329527,0.0001279844,0.2857388,0.03692345,0.002676565,0.00007591223,0.007140696,0.0004818631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928412,0.0003240808,0.000001771047,0.006618962,0.00002236986,0.0001459463,0.00002488637,0.000008021139,0.00001271996],"genre_scores_gemma":[0.9995122,0.0001173985,0.00002179737,0.0003001963,0.00003178703,0.000001137556,0.000003314387,6.298616e-7,0.00001154182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2663072,"threshold_uncertainty_score":0.4585751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775901232672693,"score_gpt":0.2685341486680389,"score_spread":0.230775136341312,"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."}}