{"id":"W4389307112","doi":"10.3390/environments10120213","title":"Environmental Impact Assessment of Plastic Waste Management Scenarios in the Canadian Context","year":2023,"lang":"en","type":"article","venue":"Environments","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Life-cycle assessment; Plastic waste; Context (archaeology); Environmental impact assessment; Environmental economics; Ecological footprint; Environmental science; Zero waste; Environmental resource management; Waste management; Business; Sustainability; Engineering; Production (economics)","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":[0.0008632594,0.0009364492,0.0003904577,0.002030068,0.002257526,0.002235091,0.001285089,0.0006852974,0.002307091],"category_scores_gemma":[0.001358551,0.0002765178,0.001008068,0.002902333,0.0008047739,0.000638998,0.0008079557,0.0005514872,0.0001167988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0577299,"about_ca_system_score_gemma":0.02598726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815965,"about_ca_topic_score_gemma":0.9909662,"domain_scores_codex":[0.9991498,0.0001624038,0.0000219233,0.00006916552,0.0003420751,0.0002546721],"domain_scores_gemma":[0.9994208,0.0001043994,0.00003672534,0.00002152418,0.0003513866,0.00006527898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000805091,0.0003414866,0.06182362,0.0004618207,0.0003761045,0.001356581,0.000371088,0.8698044,0.008227358,0.01651651,0.004854778,0.03506114],"study_design_scores_gemma":[0.000326374,0.0008789165,0.1858037,0.0003044334,0.0007806164,0.0003321358,0.008017973,0.7410967,0.01537863,0.008488772,0.03818464,0.0004072853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433671,0.000704183,0.002569624,0.0007028304,0.00002452008,0.0003697928,0.004286842,0.00007837526,0.04789665],"genre_scores_gemma":[0.9902075,0.0007188165,0.003807182,0.00007721869,0.000003175276,0.00005769211,0.001265921,0.00001485266,0.003847746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0577299,"threshold_uncertainty_score":0.4188617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008552849248595805,"score_gpt":0.2264794322323818,"score_spread":0.2179265829837859,"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."}}