{"id":"W4298130356","doi":"10.1016/j.marpolbul.2022.114160","title":"Entrainment and vertical mixing of aquatic microplastics in turbulent flow: The coupled role of particle size and density","year":2022,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microplastics; Entrainment (biomusicology); Settling; Turbulence; Mixing (physics); Environmental science; Dispersion (optics); Particle (ecology); Particle size; Oceanography; Mechanics; Geology; Physics; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003856948,0.00008375091,0.0001310367,0.00001606927,0.000110774,0.000007100606,0.00006786593,0.00002151431,0.001573611],"category_scores_gemma":[0.0001836281,0.00007043719,0.00001983939,0.000104318,0.0002023971,0.00001056931,0.0004171596,0.0001097343,0.000007652698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008743445,"about_ca_system_score_gemma":0.000009677668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008937336,"about_ca_topic_score_gemma":0.0001399299,"domain_scores_codex":[0.9990856,0.00009949669,0.0002602869,0.000157448,0.0002221214,0.000175058],"domain_scores_gemma":[0.9995409,0.0002407139,0.00006009075,0.0001031453,0.000003639679,0.00005150082],"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":[0.0006644716,0.0007322063,0.2136176,0.00005071931,0.00004793995,0.00002010042,0.002538901,0.01332291,0.7595378,0.002544819,0.0006541185,0.006268478],"study_design_scores_gemma":[0.001526724,0.0002857159,0.5630105,0.00001542736,0.00006539009,0.00007772416,0.000565845,0.4069794,0.02225465,0.0007154913,0.004305821,0.0001972952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977342,0.0000680935,0.0005989259,0.001324718,0.00003776799,0.0001456538,0.000010133,0.000004216196,0.00007627849],"genre_scores_gemma":[0.9992349,0.00002721244,0.0005640666,0.000123009,0.000006540553,0.000007810371,0.000002186658,0.000004904093,0.00002941039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7372831,"threshold_uncertainty_score":0.9993391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003585690881434573,"score_gpt":0.1681674122666941,"score_spread":0.1645817213852595,"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."}}