{"id":"W4416732865","doi":"10.1016/j.greeac.2025.100315","title":"Rapid and high-throughput analysis of PAHs and pesticides adsorbed on microplastics using SPME-MS through a microfluidic open interface coupled to liquid electron ionization mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Green Analytical Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University; University of Waterloo","funders":"Agilent Technologies","keywords":"Adsorption; Microplastics; Pollutant; Mass spectrometry; Analyte; Electron ionization; Polyethylene; Chemical ionization","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":[0.0002440971,0.0002581891,0.0005055414,0.0001151639,0.0001209995,0.00008623343,0.0002687555,0.0001535898,0.000738827],"category_scores_gemma":[0.0003111395,0.0002489969,0.00006245569,0.001387472,0.0002602439,0.00009186827,0.0004132509,0.000193485,0.000009836059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266723,"about_ca_system_score_gemma":0.0000473549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066167,"about_ca_topic_score_gemma":0.00004614598,"domain_scores_codex":[0.9983489,0.00004361436,0.0004308496,0.0005963055,0.0002274259,0.0003529358],"domain_scores_gemma":[0.9991168,0.0002876506,0.0001302206,0.0002825326,0.00003265566,0.000150163],"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":[0.0004011928,0.00009534325,0.004836358,0.00006916856,0.000375116,0.000005085108,0.0000706822,0.00244277,0.9910482,0.0001845878,0.0003540087,0.0001174736],"study_design_scores_gemma":[0.001011089,0.0004101518,0.01494772,0.0001950758,0.00235246,0.00001316925,0.00008517887,0.1908188,0.7884791,0.0005078778,0.0006374512,0.000541859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8000163,0.0001776579,0.1987059,0.0002102613,0.00003032541,0.0001507836,0.00007245798,0.00001281391,0.0006234623],"genre_scores_gemma":[0.9946091,0.0001615933,0.004635439,0.0001647516,0.00002362732,0.000002704718,0.00004103996,0.00001450533,0.0003472579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025691,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230252662398469,"score_gpt":0.2640194320643093,"score_spread":0.2517169054403246,"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."}}