{"id":"W4414780551","doi":"10.1016/j.chroma.2025.466417","title":"Analysis of rubber-derived contaminants in surface water and snow by liquid chromatography coupled with a hybrid linear ion-trap-Orbitrap high-resolution mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"International Food Service Executives Association; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Rimouski","keywords":"Mass spectrometry; Solid phase extraction; Surface water; Extraction (chemistry); Sample preparation; Repeatability; Elution; Electrospray; Detection limit; Contamination","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":[],"consensus_categories":[],"category_scores_codex":[0.0003022054,0.0004719896,0.0003612216,0.0007837001,0.0006892213,0.0005476609,0.0002757044,0.0004797113,0.0008103502],"category_scores_gemma":[0.000391237,0.0002245508,0.0004747715,0.0004435221,0.0003417688,0.0003319166,0.0003547717,0.0005029202,0.0003842356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671179,"about_ca_system_score_gemma":0.001042612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005047243,"about_ca_topic_score_gemma":0.009273887,"domain_scores_codex":[0.9995729,0.00004895598,0.00002492902,0.0001033362,0.0001868194,0.00006303829],"domain_scores_gemma":[0.9998292,0.00003922775,0.00003456645,0.000009244979,0.00006504634,0.00002268965],"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":[0.0001429541,0.00002942233,0.002567172,0.00005877257,0.00003909109,0.00008392361,0.00004748839,0.0001226307,0.9926376,0.00004436522,0.00006929474,0.004157207],"study_design_scores_gemma":[0.00003759753,0.0004863642,0.03265596,0.00003709704,0.0001178254,0.0005821712,0.0001956419,0.008672353,0.9517671,0.000223933,0.005183251,0.00004070123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675485,0.002431332,0.02513199,0.0001766216,0.00005375643,0.0001655985,0.002026348,0.0003672202,0.002098604],"genre_scores_gemma":[0.9286893,0.003101248,0.05993691,0.0003575045,0.00007107128,0.0002257374,0.002792125,0.0001579277,0.004668148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005047243,"threshold_uncertainty_score":0.01003569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004944374373179187,"score_gpt":0.2307524654427864,"score_spread":0.2258080910696072,"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."}}