{"id":"W4409529595","doi":"10.1021/acs.analchem.4c05403","title":"Interlaboratory Comparison Reveals State of the Art in Microplastic Detection and Quantification Methods","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Ministry of Science and ICT, South Korea; Korea Institute of Marine Science and Technology promotion; National Institute of Fisheries Science; Horizon 2020 Framework Programme; Norges Forskningsråd; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Helmholtz-Gemeinschaft; National Research Foundation of Korea; National Key Research and Development Program of China; National Research Council Canada; National Research Foundation; Ministry of Oceans and Fisheries; Xunta de Galicia; Government of Canada; Deutsche Forschungsgemeinschaft; HORIZON EUROPE Framework Programme; European Partnership on Metrology; European Commission","keywords":"Chemistry; Environmental chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1700749,0.002131364,0.001736902,0.005814301,0.001692145,0.00607099,0.00382681,0.004051266,0.001870587],"category_scores_gemma":[0.1471535,0.001305276,0.002013956,0.003352422,0.006187252,0.002184683,0.005440065,0.002282497,0.001933664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246162,"about_ca_system_score_gemma":0.002856575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567283,"about_ca_topic_score_gemma":0.003272578,"domain_scores_codex":[0.7476291,0.101177,0.02027418,0.04741748,0.08052452,0.0029777],"domain_scores_gemma":[0.7519296,0.145151,0.0203296,0.04423511,0.03692599,0.001428787],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003702782,0.001366689,0.183561,0.01119293,0.008436046,0.0009372966,0.008553522,0.009572743,0.3010089,0.01497308,0.01223909,0.4444559],"study_design_scores_gemma":[0.0002670939,0.006563478,0.3364092,0.003788349,0.00415436,0.005002346,0.002744548,0.03009619,0.43424,0.01724573,0.1586833,0.0008052773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3228082,0.1020507,0.5274714,0.003761962,0.003903253,0.002465183,0.005010322,0.005444985,0.02708404],"genre_scores_gemma":[0.7608764,0.008107824,0.2091848,0.003805276,0.001063638,0.002323991,0.007127523,0.001748499,0.005762076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8299252,"threshold_uncertainty_score":0.8994525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009917988359981067,"score_gpt":0.2879373599829144,"score_spread":0.2780193716229333,"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."}}