{"id":"W4386536468","doi":"10.32920/24085125.v1","title":"Waste not, want not: planning for consumer goods reuse in municipal waste management strategies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","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; Environmental economics; Waste management; Engineering; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001556382,0.0008108789,0.0008117746,0.0003653275,0.0002635424,0.0004643491,0.002873562,0.0003973035,0.0005417781],"category_scores_gemma":[0.00006279268,0.0007862129,0.0002929347,0.0003944999,0.0003216622,0.0002711548,0.0171019,0.0008849571,0.00059252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008826707,"about_ca_system_score_gemma":0.00003307743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008128591,"about_ca_topic_score_gemma":0.0107436,"domain_scores_codex":[0.9946381,0.0001748392,0.001155555,0.001663078,0.00106462,0.001303781],"domain_scores_gemma":[0.9962597,0.0002065745,0.000398415,0.002904593,0.00001255705,0.0002181662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001752723,0.0001312569,0.000691653,0.000640789,0.000223823,0.0001862974,0.003219858,0.9807488,0.00005938947,0.003510424,0.009459368,0.0009530778],"study_design_scores_gemma":[0.004687391,0.0003170825,0.006723708,0.001935451,0.0005614395,0.000005297853,0.05720495,0.856106,0.001395865,0.01720087,0.05001998,0.003841906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670489,0.0001482814,0.00573095,0.004136653,0.003231244,0.01052058,0.0002800574,0.0008239218,0.2080794],"genre_scores_gemma":[0.9617724,0.0002096077,0.01225587,0.0005887182,0.0001326014,0.001537917,0.0001770138,0.0001788139,0.02314704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1947235,"threshold_uncertainty_score":0.9994589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07985266099882403,"score_gpt":0.3243432331107136,"score_spread":0.2444905721118895,"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."}}