{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624641,0.000817609,0.0004239735,0.001524609,0.0008653797,0.00317776,0.0007904502,0.001952078,0.009929863],"category_scores_gemma":[0.001769588,0.0002063711,0.0006643701,0.001748982,0.002207332,0.002283367,0.002399406,0.001392326,0.000739089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378817,"about_ca_system_score_gemma":0.004486271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856781,"about_ca_topic_score_gemma":0.01128429,"domain_scores_codex":[0.9989247,0.0002733296,0.00004531427,0.00007158209,0.0004593961,0.000225631],"domain_scores_gemma":[0.9991085,0.0002466848,0.0002617647,0.00005873931,0.0002437504,0.00008042888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002567103,0.0004977404,0.01347612,0.005667498,0.0002429794,0.001902035,0.0006896174,0.03633417,0.01329338,0.3754839,0.04314543,0.5090105],"study_design_scores_gemma":[0.00002350983,0.0005133768,0.03683709,0.008001572,0.0001752796,0.001447554,0.009133281,0.005291488,0.01122436,0.1422267,0.7849844,0.0001413538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09172177,0.492368,0.0192896,0.101055,0.003080049,0.0002248868,0.001414062,0.0001990751,0.2906476],"genre_scores_gemma":[0.4674169,0.4932027,0.008809792,0.004281077,0.0006453195,0.0001274402,0.0004341459,0.00003509541,0.02504764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009929863,"threshold_uncertainty_score":0.03321868,"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."}}