{"id":"W3040469673","doi":"10.1016/j.scitotenv.2020.140565","title":"Rethinking and optimising plastic waste management under COVID-19 pandemic: Policy solutions based on redesign and reduction of single-use plastics and personal protective equipment","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":586,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"European Regional Development Fund; European Social Fund; Fundação para a Ciência e a Tecnologia; European Commission; Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Ensino Superior; Ministério da Educação e Ciência; Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Plastic waste; Business; Plastic pollution; Personal protective equipment; Environmental planning; 2019-20 coronavirus outbreak; Waste management; Pollution; Environmental science; Engineering; Medicine; Infectious disease (medical specialty)","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":[0.0005751782,0.0001448952,0.0001220729,0.0000522679,0.0005863516,0.00004248063,0.0001641424,0.0000370725,0.0000332932],"category_scores_gemma":[0.0002755923,0.00009600304,0.00002632208,0.0002164633,0.002376945,0.0001187768,0.0005430118,0.0001335836,0.000001740263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046573,"about_ca_system_score_gemma":0.00004341246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008626901,"about_ca_topic_score_gemma":0.00000137294,"domain_scores_codex":[0.9985413,0.0000900708,0.0002036097,0.0003612631,0.0005511869,0.0002525886],"domain_scores_gemma":[0.9992396,0.0002422522,0.0001791995,0.000161113,0.000003622548,0.0001741905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001230297,0.00005257389,0.00008979031,0.00003001809,0.00001188262,5.255931e-7,0.00220814,0.6888193,0.3075485,0.0006187299,0.00001388433,0.000483617],"study_design_scores_gemma":[0.001343888,0.001144308,0.03337993,0.0002090643,0.0002027977,0.0000896135,0.002252973,0.9390798,0.01797566,0.003880506,0.00003099623,0.0004104287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652438,0.00002148793,0.03210982,0.001898736,0.00006766254,0.0004970664,0.0000263039,0.000009223227,0.0001259137],"genre_scores_gemma":[0.9980368,0.00003489154,0.001773606,0.00008638554,0.00001914471,0.000006991119,5.230348e-7,0.000007092247,0.00003456572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2895728,"threshold_uncertainty_score":0.8757953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05616017314503401,"score_gpt":0.2339970246001391,"score_spread":0.1778368514551051,"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."}}