{"id":"W4386558262","doi":"10.32920/24085125","title":"Waste not, want not: planning for consumer goods reuse in municipal waste management strategies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Public Spaces through Art","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Reuse; Business; Sustainability; Scope (computer science); Environmental planning; Waste management; Engineering; Environmental science; Computer science","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":[0.002291478,0.0003666118,0.0001819503,0.0007998183,0.01081378,0.006960845,0.001141251,0.002097797,0.00647795],"category_scores_gemma":[0.002870618,0.000327348,0.0003018081,0.002085274,0.009280575,0.002872495,0.003899396,0.001553078,0.000388725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03466946,"about_ca_system_score_gemma":0.04445942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4354892,"about_ca_topic_score_gemma":0.6898602,"domain_scores_codex":[0.9974594,0.001451023,0.00006257436,0.0001303743,0.0002874903,0.0006092396],"domain_scores_gemma":[0.9983304,0.0007395624,0.000190884,0.00005838445,0.0002461678,0.0004346485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004109193,0.0001239432,0.01444287,0.0004686381,0.00001896938,0.004046968,0.7466108,0.001717504,0.001270385,0.1589822,0.01157614,0.06070049],"study_design_scores_gemma":[0.000005285803,0.00003597209,0.007495622,0.0002627565,0.00001726794,0.000288411,0.9088889,0.0006312486,0.0006394517,0.0084587,0.07325338,0.00002307685],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539572,0.002444332,0.009096317,0.04393275,0.000101259,0.0003899212,0.0001127484,0.00008519112,0.2898802],"genre_scores_gemma":[0.9821878,0.0009599702,0.0034646,0.0005448197,0.00000649684,0.0000573932,0.00003506432,0.00001575129,0.01272802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4354892,"threshold_uncertainty_score":0.8659088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349346992830317,"score_gpt":0.4035028618528798,"score_spread":0.2685681625698482,"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."}}