{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364395,0.0001378183,0.000263851,0.00002094974,0.00009322092,0.00001880187,0.000252454,0.00003816716,0.0002596859],"category_scores_gemma":[0.0002542037,0.0001258088,0.00009180957,0.0002139644,0.0001773635,0.000221062,0.000460758,0.0001286074,0.00001742949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380695,"about_ca_system_score_gemma":0.00003617004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517441,"about_ca_topic_score_gemma":0.00001800323,"domain_scores_codex":[0.9986781,0.000118661,0.0003594627,0.0003227474,0.0002543003,0.0002666758],"domain_scores_gemma":[0.9992868,0.00006628187,0.0001387873,0.0003010356,0.00003990658,0.0001671473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002526952,0.0006598883,0.9388773,0.0006933907,0.00007073982,0.00001250209,0.007337369,0.03710012,0.002212275,0.001593682,0.003765359,0.007424721],"study_design_scores_gemma":[0.001000868,0.001362459,0.7453798,0.00003232042,0.00004623449,6.997158e-7,0.007817555,0.2076135,0.01407592,0.009331009,0.01265491,0.0006847125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686044,0.00001411185,0.02211746,0.001966379,0.0000311247,0.0006258339,0.000004972989,0.0001483624,0.006487288],"genre_scores_gemma":[0.9968496,0.000005141406,0.002694719,0.0003527278,0.00001727345,0.00003799142,0.000004339164,0.000008071424,0.00003015224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1934974,"threshold_uncertainty_score":0.5130334,"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."}}