{"id":"W3033399290","doi":"10.3390/su12114669","title":"Comparative Life Cycle Assessment of Multiple Liquid Laundry Detergent Packaging Formats","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bottle; Laundry; High-density polyethylene; Life-cycle assessment; Food packaging; Polyethylene terephthalate; Pulp and paper industry; Low-density polyethylene; Materials science; Container (type theory); Environmental science; Waste management; Polyethylene; Production (economics); Food science; Composite material; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001279129,0.0007361731,0.0005546329,0.00186319,0.0003483823,0.0009415546,0.0006048835,0.0005551624,0.001278194],"category_scores_gemma":[0.001057712,0.0001926787,0.001182467,0.001404448,0.0002157741,0.0008212473,0.0004870405,0.0003472167,0.0003143235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173473,"about_ca_system_score_gemma":0.0005207604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463505,"about_ca_topic_score_gemma":0.003590041,"domain_scores_codex":[0.9991227,0.0002033536,0.00008390842,0.0001145996,0.0003966089,0.000078929],"domain_scores_gemma":[0.9990692,0.0002171066,0.0001745176,0.00004505171,0.0004506892,0.00004361563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004059071,0.001074603,0.05039176,0.001524072,0.0003823094,0.00047209,0.0003422973,0.03576283,0.7915869,0.0006345749,0.0004169128,0.1133526],"study_design_scores_gemma":[0.0000626574,0.01711483,0.05879424,0.0001029369,0.00050854,0.0004185564,0.0005422205,0.03091488,0.8842695,0.0004369399,0.006741653,0.00009309635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913654,0.001231019,0.003619083,0.00002154077,0.00001127718,0.0001985316,0.001267728,0.00004316736,0.002242234],"genre_scores_gemma":[0.985162,0.001883086,0.008524377,0.00003139561,0.000006623439,0.0002727459,0.001792598,0.0000217522,0.002305466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002463505,"threshold_uncertainty_score":0.008514106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117029988325528,"score_gpt":0.3051773227350807,"score_spread":0.2840070228518254,"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."}}