{"id":"W4409199233","doi":"10.1016/j.chroma.2025.465943","title":"Solid-phase microextraction coupled to gas chromatography–Mass spectrometry as an advanced method for the determination of bioplasticizers in environmental and bottled water samples","year":2025,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Slovenská technická univerzita v Bratislave; Agentúra na Podporu Výskumu a Vývoja; European Regional Development Fund; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; St. Thomas University","keywords":"Chemistry; Chromatography; Solid-phase microextraction; Mass spectrometry; Gas chromatography–mass spectrometry; Gas chromatography; Bottled water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004639531,0.0006535377,0.0003950069,0.0007243092,0.0005305634,0.0004420748,0.0005441681,0.001283189,0.0004694918],"category_scores_gemma":[0.0004795015,0.0004816444,0.0003390979,0.0004923923,0.0005370058,0.0004329277,0.0004097086,0.001024594,0.0004462856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641248,"about_ca_system_score_gemma":0.000752128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780574,"about_ca_topic_score_gemma":0.006309633,"domain_scores_codex":[0.999294,0.0001426941,0.00003610921,0.0001561928,0.0003308482,0.0000401374],"domain_scores_gemma":[0.9997128,0.00009634444,0.00003331646,0.00002073325,0.00009434987,0.00004237613],"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":[0.00009524814,0.00003092897,0.0004165355,0.00002481606,0.00001389385,0.00003327711,0.00001951328,0.00008856809,0.9961779,0.00003705987,0.00004429969,0.003017919],"study_design_scores_gemma":[0.00001360641,0.0002399709,0.004427736,0.00001058586,0.00003230451,0.000387379,0.00003170465,0.004983534,0.9879574,0.00009516162,0.001794995,0.00002554956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8787875,0.008695719,0.1070651,0.0006706471,0.0003624243,0.0001920411,0.001330381,0.0005502897,0.002345858],"genre_scores_gemma":[0.8922908,0.003855333,0.09623767,0.0004019532,0.00009877266,0.0001276576,0.0007224932,0.00005896056,0.006206287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001780574,"threshold_uncertainty_score":0.003540397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006355330758922446,"score_gpt":0.2986517565475557,"score_spread":0.2922964257886332,"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."}}