{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776205,0.0008818557,0.0009019764,0.001968048,0.0007636709,0.001002287,0.0008380564,0.0008290538,0.001645073],"category_scores_gemma":[0.001505939,0.000386604,0.001598292,0.00121239,0.0003579359,0.0007388907,0.0006764205,0.000470418,0.0003957509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048386,"about_ca_system_score_gemma":0.0008109895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005539285,"about_ca_topic_score_gemma":0.004277888,"domain_scores_codex":[0.9984956,0.0002865572,0.0001313444,0.000203542,0.000767505,0.000115534],"domain_scores_gemma":[0.9984875,0.0005219358,0.0002205818,0.00008263971,0.0006341961,0.00005315827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003632476,0.001988822,0.06870092,0.003063666,0.0005234525,0.001243876,0.0005514222,0.2349581,0.5220664,0.001152249,0.001135662,0.1609829],"study_design_scores_gemma":[0.0001177988,0.01162494,0.05236175,0.000142992,0.0005639614,0.0004418328,0.0005836711,0.3285004,0.5978745,0.0008090046,0.006800799,0.0001783589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894834,0.001172703,0.005851767,0.00003687136,0.00002196524,0.0003636991,0.001145362,0.00007919135,0.001845038],"genre_scores_gemma":[0.9892615,0.0007408483,0.007390499,0.00002520439,0.000004567972,0.0002817877,0.0008368824,0.00001789513,0.00144089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005539285,"threshold_uncertainty_score":0.01486218,"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."}}