{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007892626,0.0006160132,0.0004499935,0.0008933112,0.0002843975,0.0003803261,0.0003754313,0.0005995296,0.0004565606],"category_scores_gemma":[0.001366755,0.0002920536,0.0003383655,0.0006907808,0.0005084758,0.0002162597,0.0004266912,0.0004113819,0.0002558961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937779,"about_ca_system_score_gemma":0.0007365327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144575,"about_ca_topic_score_gemma":0.00240959,"domain_scores_codex":[0.9988554,0.0002501775,0.00005514945,0.0002728447,0.0004870834,0.00007932838],"domain_scores_gemma":[0.9995478,0.000133152,0.000112877,0.00004368908,0.0001261762,0.00003628901],"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":[0.0002126466,0.00004901681,0.002808456,0.00007770531,0.00004884118,0.00005427183,0.00003855131,0.0002073043,0.9829695,0.00007025996,0.00006736651,0.01339599],"study_design_scores_gemma":[0.0000305489,0.000605258,0.01968515,0.00001862213,0.00009545498,0.0005056086,0.00003570969,0.003350963,0.973013,0.0001245076,0.002498845,0.00003631393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321786,0.005341294,0.05956415,0.0001120421,0.00008529532,0.0002295431,0.000931253,0.0004678037,0.001089939],"genre_scores_gemma":[0.8586912,0.004620341,0.1311167,0.0003413633,0.00005373033,0.0005566942,0.001298176,0.00008986911,0.003231819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144575,"threshold_uncertainty_score":0.004174113,"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."}}