{"id":"W3194780803","doi":"10.1016/j.envpol.2021.117985","title":"Science-society-policy interface for microplastic and nanoplastic: Environmental and biomedical aspects","year":2021,"lang":"en","type":"review","venue":"Environmental Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; York University; Institut National de la Recherche Scientifique","funders":"","keywords":"Microplastics; Human health; Nanotechnology; Risk analysis (engineering); Biochemical engineering; Hazardous waste; Computer science; Environmental science; Engineering; Materials science; Chemistry; Environmental chemistry; Business; Medicine; Environmental health","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004154188,0.0007387446,0.0009944035,0.0002610169,0.0007347001,0.0001618361,0.0003182571,0.00043468,0.0007542107],"category_scores_gemma":[0.0001272053,0.0006778308,0.0002915518,0.0003894967,0.003323014,0.0002755343,0.001157248,0.0004064701,0.0003752222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738832,"about_ca_system_score_gemma":0.0001993974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000273382,"about_ca_topic_score_gemma":0.000005219071,"domain_scores_codex":[0.996389,0.00009343898,0.0006616478,0.00137341,0.000610623,0.000871855],"domain_scores_gemma":[0.9985017,0.0002649204,0.0003428134,0.0003521199,0.000001620022,0.0005367845],"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":[0.00002549086,0.0004991624,0.00003719929,0.001321365,0.0001841115,0.00001436299,0.000392453,0.00002633511,0.04022203,0.0004408759,0.003550921,0.9532857],"study_design_scores_gemma":[0.0006016298,0.0003506998,0.0002351751,0.001051801,0.0005153751,0.0004573358,0.0001171659,0.0005664169,0.0001696571,0.00008064138,0.9950883,0.0007658427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004669862,0.9855376,0.004856401,0.00005965859,0.001166287,0.001318996,0.002166,0.00004892504,0.00017621],"genre_scores_gemma":[0.0314516,0.9651674,0.001773161,0.00007555675,0.0004634013,0.00007169569,0.0003629292,0.00008707214,0.0005471648],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915373,"threshold_uncertainty_score":0.9995673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081078965282344,"score_gpt":0.2601664733001021,"score_spread":0.2493556836472786,"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."}}