{"id":"W2256540057","doi":"10.1021/acs.analchem.5b03609","title":"Differential Isotope Labeling of 38 Dietary Polyphenols and Their Quantification in Urine by Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Wereld Kanker Onderzoek Fonds; Institut National Du Cancer; World Health Organization","keywords":"Chemistry; Chromatography; Electrospray ionization; Mass spectrometry; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Electrospray; Polyphenol; Urine; Extractive electrospray ionization; Direct electron ionization liquid chromatography–mass spectrometry interface; Protein mass spectrometry; Isotope dilution; Sample preparation in mass spectrometry; Chemical ionization; Ionization; Biochemistry; Ion; Antioxidant; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001213369,0.0002018257,0.0003089053,0.00006415278,0.00004585108,0.00001536549,0.0001410154,0.0001603496,0.00008478996],"category_scores_gemma":[0.0001265357,0.0001458049,0.00009236435,0.0002822002,0.000144223,0.000007464338,0.00008085762,0.00009062563,0.000001002493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001828702,"about_ca_system_score_gemma":0.00002415316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007612095,"about_ca_topic_score_gemma":0.000002938275,"domain_scores_codex":[0.9987944,0.000026029,0.0003516129,0.0004255161,0.0001192957,0.0002830892],"domain_scores_gemma":[0.9994214,0.00003261607,0.0001238069,0.0002757224,0.00006791987,0.00007860388],"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":[0.00008991636,0.00009686549,0.01124141,0.00003651571,0.000116596,5.088664e-7,0.000006884693,4.506836e-7,0.9878793,0.0001576014,0.0001831137,0.0001908593],"study_design_scores_gemma":[0.0005631587,0.0001602235,0.003111668,0.0000251844,0.00002924642,0.000002927397,0.00003401522,0.00008256154,0.9951259,0.0002155331,0.0004584123,0.0001911036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877662,0.002051425,0.009061096,0.0003627693,0.00002569239,0.00009031078,0.00004101707,0.00001097639,0.0005905132],"genre_scores_gemma":[0.9965506,0.002626357,0.0002914685,0.00002419272,0.0001003879,0.000009240042,0.0001058486,0.00001875888,0.0002732064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008784341,"threshold_uncertainty_score":0.594575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00799344672757582,"score_gpt":0.2298679562447343,"score_spread":0.2218745095171585,"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."}}