{"id":"W4413554290","doi":"10.1039/d5su00170f","title":"An environmentally sensitive method for rapid monitoring of 6PPD-quinone in aqueous samples using solid phase extraction and direct sample introduction with liquid chromatography and tandem mass spectrometry","year":2025,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Government of Canada","keywords":"Chromatography; Solid phase extraction; Liquid chromatography–mass spectrometry; Mass spectrometry; Chemistry; Sample preparation; Tandem mass spectrometry; Tandem; Extraction (chemistry); Aqueous solution; Analytical Chemistry (journal); Materials science; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005039754,0.0002478,0.0004596762,0.0001827187,0.0001542476,0.00003550768,0.00006759176,0.0001642612,0.00002539844],"category_scores_gemma":[0.0002590324,0.0002484944,0.00009143421,0.0004160441,0.0003348889,0.0002213191,0.00003593997,0.0001982361,1.091449e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155833,"about_ca_system_score_gemma":0.00007822968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001981382,"about_ca_topic_score_gemma":0.000007679315,"domain_scores_codex":[0.9984096,0.00008442644,0.0003844353,0.0006407407,0.0001535697,0.0003271952],"domain_scores_gemma":[0.9988101,0.0004865157,0.0001593739,0.0003277403,0.0001141511,0.0001021611],"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":[0.001475086,0.0005688443,0.06785747,0.001306932,0.000172832,0.000008975058,0.0002469587,0.000155425,0.9249424,0.00007049807,0.000001359543,0.003193203],"study_design_scores_gemma":[0.001514405,0.0003641497,0.006403164,0.00007529443,0.0002101353,0.00002448505,0.00948675,0.002601494,0.9770604,0.001940548,0.00005608254,0.0002631023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870066,0.0003005013,0.1122097,0.00006744751,0.00001754327,0.000245674,0.00005034204,0.00004033728,0.00006182962],"genre_scores_gemma":[0.9635312,0.00007286017,0.03617759,0.00000429883,0.0001276145,0.00002783437,0.00003533368,0.00001708376,0.000006205699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07652459,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009265177645430986,"score_gpt":0.319206508129781,"score_spread":0.30994133048435,"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."}}