{"id":"W4379795453","doi":"10.3390/su15129185","title":"Greenhouse Gas Emission Reduction Based on Social Recycling: A Case Study with Waste Picker Cooperatives in Brasília, Brazil","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Greenhouse gas; Municipal solid waste; Work (physics); Waste management; United Nations Framework Convention on Climate Change; Climate change mitigation; Climate change; Circular economy; Environmental science; Process (computing); Environmental economics; Business; Environmental engineering; Engineering; Kyoto Protocol; Economics; Computer science","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":[0.00170727,0.0004333057,0.0004025138,0.001207876,0.002638725,0.001348418,0.0009261408,0.001255378,0.001125358],"category_scores_gemma":[0.002159708,0.0002193396,0.0005759337,0.001833077,0.001428644,0.0008067975,0.00137803,0.0004556678,0.0001147748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042201,"about_ca_system_score_gemma":0.002517205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070113,"about_ca_topic_score_gemma":0.1910845,"domain_scores_codex":[0.998888,0.0005727059,0.00004178687,0.00009963114,0.0001715554,0.000226327],"domain_scores_gemma":[0.9986416,0.0007728447,0.0001764408,0.0000738723,0.0001967971,0.0001384872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008034105,0.007013859,0.5092694,0.001962287,0.0003255711,0.1075385,0.1658421,0.0343828,0.0156794,0.02169057,0.003039013,0.1324532],"study_design_scores_gemma":[0.0002378228,0.002513104,0.3482082,0.0008011509,0.0003976998,0.007979651,0.5490052,0.03707628,0.007833938,0.006156833,0.03960714,0.0001830696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966269,0.0001208954,0.000470693,0.000166603,0.000001522678,0.00007899327,0.00004108208,0.00000352756,0.002489827],"genre_scores_gemma":[0.9977041,0.0002724494,0.001014828,0.00003181272,0.000001989224,0.00003803267,0.00003360804,0.000002982382,0.0009002048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070113,"threshold_uncertainty_score":0.2127768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950062898256221,"score_gpt":0.2880988308226755,"score_spread":0.2685982018401133,"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."}}