{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002543412,0.0004172748,0.0006139347,0.0004485809,0.0003906337,0.000729987,0.002088879,0.0004688855,0.0001149822],"category_scores_gemma":[0.0003856689,0.0004170184,0.0002204393,0.0004375282,0.0003905189,0.0004392494,0.002966138,0.0006307494,0.00009902144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171111,"about_ca_system_score_gemma":0.0005253224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01542913,"about_ca_topic_score_gemma":0.03448943,"domain_scores_codex":[0.9961553,0.0002717256,0.0006701741,0.0009437272,0.0008339875,0.00112508],"domain_scores_gemma":[0.9976436,0.0005111974,0.0002930781,0.001263735,0.0000949961,0.0001933632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004590547,0.0003162303,0.002897379,0.001501786,0.001160001,0.000365495,0.2668072,0.03845705,0.0001208931,0.5738498,0.1109128,0.00315228],"study_design_scores_gemma":[0.001839302,0.00008409116,0.0009083505,0.001068059,0.000165166,8.577077e-7,0.707983,0.007855866,0.0002956131,0.03302351,0.2452425,0.00153375],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5006199,0.0003294401,0.002877486,0.03399061,0.008129925,0.006618714,0.0003311076,0.001632075,0.4454708],"genre_scores_gemma":[0.9410126,0.0007449648,0.01181119,0.0005856781,0.0007072248,0.001100514,0.0001281674,0.0001136224,0.04379602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5408263,"threshold_uncertainty_score":0.9998282,"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."}}