{"id":"W4207083611","doi":"10.3390/environments9020015","title":"Environmental and Economic Impacts of Mismanaged Plastics and Measures for Mitigation","year":2022,"lang":"en","type":"article","venue":"Environments","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Plastic pollution; Government (linguistics); Business; Natural resource economics; Plastic waste; Production (economics); Timeline; Consumption (sociology); Cleaner production; Municipal solid waste; Environmental planning; Economics; Pollution; Waste management; Environmental science; Engineering; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001647453,0.0001032063,0.0001064161,0.00002581835,0.0002049903,0.000008189387,0.00006508177,0.0000264937,0.0007946677],"category_scores_gemma":[0.00001225041,0.0001132245,0.00002201766,0.000012139,0.0001669786,0.00006537797,0.0002078411,0.0000610598,0.00002037031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690507,"about_ca_system_score_gemma":0.000003091342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004270609,"about_ca_topic_score_gemma":0.00001229419,"domain_scores_codex":[0.9992715,0.00003363916,0.0001645751,0.000222287,0.0001525319,0.0001555438],"domain_scores_gemma":[0.9996432,0.00008561093,0.0001017029,0.00009089892,1.34907e-7,0.00007846025],"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":[0.0002191314,0.0002230047,0.245835,0.00002862798,0.00007723636,0.000003283996,0.000969602,0.01342614,0.7220539,0.0002274384,0.002503893,0.01443281],"study_design_scores_gemma":[0.001954672,0.0005402528,0.9112424,0.000006243592,0.00009743166,0.00002915233,0.0003086927,0.01222521,0.0143382,0.0009715473,0.05791726,0.0003689419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972145,0.00008919994,0.001858289,0.00003868743,0.00009482991,0.0002224178,0.0003436003,0.000003843067,0.000134659],"genre_scores_gemma":[0.9989229,0.00009840381,0.0007188224,0.00003841445,0.00001316912,0.00002394056,0.00003085078,0.00001198436,0.0001414467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7077157,"threshold_uncertainty_score":0.8701054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005137358334707545,"score_gpt":0.1756150958667684,"score_spread":0.1704777375320608,"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."}}