{"id":"W4403235635","doi":"10.2139/ssrn.4979590","title":"A Comparison of Non-Fee-Based Municipal Waste Collection Policies to Optimize Recycling Rates: Evidence from England and Wales","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Waste recycling; Waste management; Engineering","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":[0.01399025,0.0004797463,0.001588588,0.002359236,0.0006998345,0.003102928,0.00170209,0.002104754,0.002781742],"category_scores_gemma":[0.0525464,0.0006285159,0.002216206,0.003115707,0.00215541,0.00160616,0.002175198,0.001597497,0.0001854141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01053045,"about_ca_system_score_gemma":0.007651161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165581,"about_ca_topic_score_gemma":0.1187088,"domain_scores_codex":[0.9727605,0.01694,0.002458568,0.001567013,0.003983457,0.002290591],"domain_scores_gemma":[0.9324579,0.04614061,0.01280046,0.002198898,0.004416375,0.001985657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1009369,0.008884031,0.5673099,0.0212154,0.01738791,0.0008905187,0.005236635,0.01834535,0.002557556,0.01936903,0.005643548,0.2322233],"study_design_scores_gemma":[0.007160875,0.01514808,0.9440416,0.003813621,0.008844955,0.0003072414,0.004754412,0.002876606,0.00145626,0.001652058,0.009781714,0.0001626389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771113,0.01593984,0.0003567676,0.001142396,0.00009157494,0.0001947321,0.0005566357,0.0000108598,0.004595881],"genre_scores_gemma":[0.9955115,0.002843793,0.0002404475,0.000433237,0.00002368833,0.00006498693,0.0002615472,0.000006745805,0.0006140779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1165581,"threshold_uncertainty_score":0.2317593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345235120236548,"score_gpt":0.3289332019597256,"score_spread":0.2954808507573602,"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."}}