{"id":"W2921835779","doi":"10.1021/acs.analchem.8b05884","title":"Ultrahigh-Performance Liquid Chromatography Tandem Mass Spectrometry with Electrospray Ionization Quantification of Tryptophan Metabolites and Markers of Gut Health in Serum and Plasma—Application to Clinical and Epidemiology Cohorts","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Imperial Biomedical Research Centre; National Institutes of Health; Alzheimer Society; National Institute for Health and Care Research; UK Dementia Research Institute; Medical Research Council","keywords":"Chromatography; Chemistry; Analyte; Tandem mass spectrometry; Selected reaction monitoring; Electrospray ionization; Kynurenine; Solid phase extraction; Protein precipitation; Mass spectrometry; Liquid chromatography–mass spectrometry; Electrospray; Tryptophan; Biochemistry; Amino acid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006027213,0.0001407669,0.0005087643,0.0001040396,0.00003325105,0.00000868416,0.00009329696,0.0001204659,0.00001283974],"category_scores_gemma":[0.0003902901,0.0001227116,0.00003083798,0.0006475963,0.000357395,0.00008846218,0.00002488341,0.0001592277,7.994208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001281157,"about_ca_system_score_gemma":0.00004833685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039849,"about_ca_topic_score_gemma":0.00000430587,"domain_scores_codex":[0.9984199,0.0001043823,0.0005806426,0.0005221803,0.0001264857,0.0002464081],"domain_scores_gemma":[0.9988444,0.0005058686,0.0002493289,0.0002219,0.00003546984,0.0001429847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002726935,0.00006547375,0.5569868,0.0002052699,0.00001350255,2.028132e-7,0.00001912252,0.00002192803,0.4411478,0.0008254703,0.00001009857,0.0004316177],"study_design_scores_gemma":[0.0006454255,0.000420167,0.604443,0.00005287847,0.00001313201,0.00000972007,0.00004374159,0.004785325,0.3892429,0.0001831497,0.00003480398,0.0001257742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972942,0.000208887,0.001326321,0.0006878776,0.00001187236,0.0002770133,0.00001078677,0.0000152944,0.0001677875],"genre_scores_gemma":[0.9978756,0.001061355,0.0007821422,0.0002188957,0.00001355883,0.0000076038,0.00001038527,0.00001072983,0.00001974605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05190491,"threshold_uncertainty_score":0.5004032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606779178644025,"score_gpt":0.2923737503432555,"score_spread":0.2763059585568152,"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."}}