{"id":"W3015676102","doi":"10.5864/d2020-005","title":"Microplastics in the environment: impact on human health and future mitigation strategies","year":2020,"lang":"en","type":"article","venue":"Environmental Health Review","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Microplastics; Human health; Business; Legislature; Public health; Environmental planning; Environmental health; Political science; Environmental science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003005059,0.0008907473,0.001188702,0.001909525,0.0005964203,0.002015912,0.001397377,0.003645138,0.005276134],"category_scores_gemma":[0.002390796,0.0003034776,0.0009443657,0.001190473,0.00140023,0.002652981,0.001389948,0.002718368,0.001467616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985403,"about_ca_system_score_gemma":0.007980091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008664608,"about_ca_topic_score_gemma":0.01679746,"domain_scores_codex":[0.9990102,0.0003017549,0.0001004756,0.0001050997,0.0003510879,0.0001313022],"domain_scores_gemma":[0.9972417,0.001117599,0.0003029894,0.00006064424,0.001077468,0.0001995382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001124609,0.0002303618,0.0009414491,0.03737037,0.000223437,0.0004623882,0.0003415273,0.001374535,0.004152228,0.0353622,0.0973026,0.8221265],"study_design_scores_gemma":[0.00001409339,0.000200033,0.001587641,0.01914496,0.0001580114,0.0004858221,0.0006050532,0.0002009251,0.001050577,0.005941323,0.9705751,0.00003647019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002360657,0.989741,0.0001749273,0.007286771,0.000642058,0.000008748115,0.00002423298,0.000008968109,0.001877378],"genre_scores_gemma":[0.002297265,0.9941287,0.0002869033,0.00200858,0.0003491635,0.00001127855,0.00001861407,0.000002089357,0.0008974567],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008664608,"threshold_uncertainty_score":0.01765049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145344689078381,"score_gpt":0.2926806367688374,"score_spread":0.2712271898780536,"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."}}