{"id":"W4376505830","doi":"10.1016/j.chemosphere.2023.138875","title":"The influence of complex matrices on method performance in extracting and monitoring for microplastics","year":2023,"lang":"en","type":"article","venue":"Chemosphere","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"National Institute of Food and Agriculture; Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie; National Park Service; Woods Hole Oceanographic Institution; California State Water Resources Control Board; Oregon State University; University of Minnesota; U.S. Department of Agriculture; National Science Foundation","keywords":"Microplastics; Extraction (chemistry); Sediment; Particle (ecology); Complex matrix; Environmental science; Environmental chemistry; Particle size; Sample preparation; Surface water; Water extraction; Chemistry; Biological system; Chromatography; Environmental engineering; Ecology; Geology; Biology","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":[0.005197833,0.00109585,0.000551065,0.0006126188,0.0006754366,0.001735721,0.0006661688,0.001727278,0.001699475],"category_scores_gemma":[0.01420079,0.0009697944,0.0005792757,0.0004753642,0.001258487,0.0009659897,0.000783945,0.0008240435,0.001084122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004984774,"about_ca_system_score_gemma":0.0008837988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015681,"about_ca_topic_score_gemma":0.002935909,"domain_scores_codex":[0.9932555,0.002616542,0.0004452206,0.0009460889,0.002406651,0.0003299079],"domain_scores_gemma":[0.9858748,0.01096525,0.0007656841,0.0006919175,0.001506445,0.0001958982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001181198,0.00009426473,0.001460026,0.0002987997,0.0001625462,0.0001078713,0.0002396172,0.0009045712,0.9836678,0.0001821596,0.0002332785,0.01146784],"study_design_scores_gemma":[0.00002297243,0.0007826224,0.002282161,0.00002712344,0.0000819786,0.0002295867,0.00006453637,0.003358528,0.9912226,0.0001221906,0.001784441,0.00002131763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005744,0.01471325,0.07600939,0.0008202762,0.000539586,0.0004517698,0.0006974835,0.0004999258,0.005694028],"genre_scores_gemma":[0.941247,0.006469706,0.04602239,0.0006492442,0.0001533091,0.0003267922,0.0007027237,0.0003010867,0.004127741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005197833,"threshold_uncertainty_score":0.02748913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042378676956999,"score_gpt":0.2718236120090768,"score_spread":0.2513998252395069,"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."}}