{"id":"W4289705652","doi":"10.1002/pts.2653","title":"Life cycle assessment of returnable mailers used for apparel electronic commerce: A case study in Canada","year":2022,"lang":"en","type":"article","venue":"Packaging Technology and Science","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Paperboard; Environmental impact assessment; Sustainability; Clothing; Business; Reuse; Environmental economics; Engineering; Waste management; Economics; Production (economics); Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001144865,0.0007767474,0.0004606727,0.002321278,0.002532927,0.001897819,0.001177335,0.0006608964,0.00121396],"category_scores_gemma":[0.001406692,0.000348625,0.001220762,0.004061995,0.000931885,0.0006386464,0.0007011453,0.0004729022,0.0001873776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03476836,"about_ca_system_score_gemma":0.01662169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558914,"about_ca_topic_score_gemma":0.9709645,"domain_scores_codex":[0.9985178,0.0001113899,0.00004363519,0.0001402713,0.0008657803,0.0003211784],"domain_scores_gemma":[0.9983875,0.0001910648,0.0001009868,0.00005069762,0.001186418,0.00008342776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009129393,0.0012333,0.5485674,0.001364462,0.0003742719,0.01417111,0.009014496,0.162615,0.04805892,0.005983543,0.005494456,0.2022101],"study_design_scores_gemma":[0.00009855238,0.001721653,0.7346829,0.0003272406,0.0006986425,0.001744437,0.03625655,0.1471422,0.03913829,0.001235823,0.03653652,0.0004172823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908292,0.0004010302,0.001340164,0.00009361203,0.000005307313,0.000207082,0.0008246906,0.00002308954,0.006275903],"genre_scores_gemma":[0.9869484,0.0009455363,0.004499291,0.00004746461,0.00000242999,0.00005734374,0.001090514,0.00001924882,0.006389727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04410857,"threshold_uncertainty_score":0.2522632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069443040019077,"score_gpt":0.2733448428007664,"score_spread":0.2626504124005756,"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."}}