{"id":"W4361267703","doi":"10.1002/pts.2729","title":"Life cycle assessment of multiple dispensing systems used for cosmetic product packaging","year":2023,"lang":"en","type":"article","venue":"Packaging Technology and Science","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Cosmetics; Sustainability; Environmental impact assessment; Cosmetic industry; Raw material; Product (mathematics); Engineering; Environmentally friendly; Packaging and labeling; Business; Waste management; Production (economics); Marketing","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":[0.002226361,0.0001727798,0.0002848324,0.002199285,0.0006629977,0.0002833427,0.0005159933,0.00004897545,0.00000306057],"category_scores_gemma":[0.002044237,0.0001634983,0.00003604458,0.004423945,0.000756052,0.0007422112,0.0007058596,0.0001309896,0.000009593842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006217072,"about_ca_system_score_gemma":0.000100829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007913292,"about_ca_topic_score_gemma":0.00001171095,"domain_scores_codex":[0.998085,0.000009651862,0.0003073775,0.0006047433,0.0003520862,0.0006411142],"domain_scores_gemma":[0.9988435,0.0001413619,0.0002361676,0.0004794981,0.0002723447,0.00002715225],"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":[0.00001243063,0.00008221628,0.7053381,0.001707147,0.00004868493,0.00002309227,0.0001778338,0.006439623,0.01405528,0.2614333,0.001252922,0.009429438],"study_design_scores_gemma":[0.0009056848,0.00002472769,0.04762333,0.000208901,0.00006636878,0.000003395159,0.007956166,0.9184436,0.0007412793,0.01850621,0.005106231,0.0004141774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758337,0.0001037686,0.01363517,0.007236779,0.00058987,0.00114255,0.000002318595,0.0007485768,0.000707245],"genre_scores_gemma":[0.997911,0.000006371333,0.001594862,0.0001541503,0.000111786,0.00009997886,0.000005618157,0.0000221707,0.00009409533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9120039,"threshold_uncertainty_score":0.6667268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859986424536356,"score_gpt":0.2730770576488154,"score_spread":0.2544771934034518,"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."}}