{"id":"W4210415205","doi":"10.3390/microplastics1010010","title":"Microplastics and Macroplastic Debris as Potential Physical Vectors of SARS-CoV-2: A Hypothetical Overview with Implications for Public Health","year":2022,"lang":"en","type":"article","venue":"Microplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Microplastics; Plastic pollution; Debris; Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental science; Personal protective equipment; Wildlife; 2019-20 coronavirus outbreak; Environmental health; Fishery; Biology; Ecology; Virology; Geography; Medicine; Infectious disease (medical specialty); Meteorology","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"],"consensus_categories":[],"category_scores_codex":[0.0002838305,0.0003794665,0.0005177115,0.0001325106,0.0007425647,0.00006967454,0.0003332723,0.00007322475,0.0001852915],"category_scores_gemma":[0.0002242972,0.0003537342,0.0001219038,0.0005093883,0.0005964551,0.00008730255,0.0005105091,0.0003249323,0.00004526296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320249,"about_ca_system_score_gemma":0.0002541508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001506681,"about_ca_topic_score_gemma":0.0001153313,"domain_scores_codex":[0.997478,0.0001403924,0.0005263248,0.0006540925,0.0004042083,0.000796969],"domain_scores_gemma":[0.9983639,0.000607015,0.0003507683,0.0003616436,0.00005637244,0.0002603703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006886044,0.002144612,0.008776279,0.0003559842,0.0002485251,0.00002692604,0.001328177,0.007154819,0.9390483,0.01357177,0.01187669,0.01477925],"study_design_scores_gemma":[0.01957325,0.0247627,0.1233495,0.0003753146,0.001983554,0.009813857,0.0015045,0.1095649,0.08662201,0.01326684,0.6026321,0.006551477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874368,0.0002415996,0.1216274,0.000951665,0.000295991,0.0006419373,0.00172774,0.00005037878,0.00009527316],"genre_scores_gemma":[0.991076,0.00008435949,0.008025611,0.0004198219,0.00007278381,0.00009188033,0.00009883192,0.00007100826,0.00005969378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8524264,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489689126148601,"score_gpt":0.2690668125174173,"score_spread":0.2341699212559313,"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."}}