{"id":"W2789997016","doi":"10.1016/j.jchromb.2018.03.002","title":"Development and validation of an ultra high performance liquid chromatography-electrospray tandem mass spectrometry method using selective derivatisation, for the quantification of two reactive aldehydes produced by lipid peroxidation, HNE (4-hydroxy-2( E )-nonenal) and HHE (4-hydroxy-2( E )-hexenal) in faecal water","year":2018,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institut National Du Cancer; Institute of Cancer Research; Institut National de la Santé et de la Recherche Médicale; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche","keywords":"Chemistry; Chromatography; Selected reaction monitoring; Tandem mass spectrometry; Mass spectrometry; Lipid peroxidation; Extraction (chemistry); Antioxidant; Biochemistry","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":[0.002963298,0.001155808,0.0005958927,0.001370574,0.0009052464,0.0008203345,0.001187991,0.002013688,0.0008242532],"category_scores_gemma":[0.002762021,0.000700318,0.0007434563,0.0005031298,0.001056964,0.001124867,0.001089191,0.001200979,0.0009093146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758812,"about_ca_system_score_gemma":0.00297928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043365,"about_ca_topic_score_gemma":0.00494962,"domain_scores_codex":[0.9969528,0.0003516764,0.0002232141,0.0006637537,0.001706889,0.0001016781],"domain_scores_gemma":[0.9982148,0.0003382668,0.0003025441,0.0001625404,0.0008119348,0.0001699196],"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":[0.0001009639,0.0001371789,0.0009384443,0.0001119772,0.00005297425,0.00006139742,0.00005028077,0.0002783856,0.9847438,0.0001923614,0.0001287932,0.01320348],"study_design_scores_gemma":[0.00005437508,0.0009988456,0.00575244,0.00002763406,0.000109903,0.001032017,0.00004080328,0.006384916,0.9808102,0.0001906545,0.004555539,0.00004268572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3460984,0.006435088,0.6385788,0.0007662926,0.0005286105,0.001521364,0.001202527,0.002052383,0.002816624],"genre_scores_gemma":[0.5747887,0.003242216,0.4075485,0.001757548,0.0001748842,0.001511576,0.002315342,0.000202123,0.008459025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002963298,"threshold_uncertainty_score":0.01567161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638435726320949,"score_gpt":0.2617576188633686,"score_spread":0.2453732616001591,"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."}}