{"id":"W4328100172","doi":"10.1016/j.ejor.2023.03.011","title":"The joint impact of environmental awareness and system infrastructure on e-waste collection","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Data collection; Environmental economics; Business; Environmental impact assessment; Waste collection; Sustainability; Return on investment; Environmental stewardship; Computer science; Marketing; Environmental resource management; Municipal solid waste; Environmental science; Profit (economics); Economics; 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":[0.004832544,0.0003140054,0.0003451142,0.0009687703,0.001077719,0.003890483,0.0007129952,0.001200422,0.00822976],"category_scores_gemma":[0.01607838,0.0003019526,0.0006300422,0.00121563,0.001308862,0.003250246,0.003533812,0.00100461,0.0003629243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010521,"about_ca_system_score_gemma":0.004805865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034956,"about_ca_topic_score_gemma":0.01298366,"domain_scores_codex":[0.9965883,0.001358515,0.0001392754,0.0001702801,0.0006763182,0.001067254],"domain_scores_gemma":[0.9729109,0.01758842,0.002461187,0.000970946,0.004632227,0.001436233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005387353,0.004418294,0.4033606,0.001426679,0.0009849131,0.002082962,0.003508296,0.1104763,0.024343,0.06957457,0.005342938,0.3690941],"study_design_scores_gemma":[0.0002223693,0.003642314,0.7399369,0.000524676,0.002893052,0.001149493,0.03016906,0.090001,0.05067183,0.04924757,0.03126955,0.0002721726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555399,0.0005410662,0.00307959,0.001854179,0.00006035993,0.00004766692,0.00009093709,0.00006001141,0.03872622],"genre_scores_gemma":[0.9981104,0.0001170723,0.0004545455,0.0000499121,0.0000114747,0.000005786457,0.00001613526,0.0000102035,0.001224518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034956,"threshold_uncertainty_score":0.02753133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341092612213122,"score_gpt":0.3302178815292106,"score_spread":0.2868069554070794,"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."}}