{"id":"W2280807903","doi":"10.5740/jaoacint.15-084","title":"Determination of β-N-methylamino-L-alanine, N-(2-aminoethyl)glycine, and 2,4-diaminobutyric acid in Food Products Containing Cyanobacteria by Ultra-Performance Liquid Chromatography and Tandem Mass Spectrometry: Single-Laboratory Validation","year":2015,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Institute of Technology","keywords":"Chromatography; Chemistry; Repeatability; Derivatization; Analyte; Liquid chromatography–mass spectrometry; Detection limit; Tandem mass spectrometry; Mass spectrometry; Selected reaction monitoring; Residue (chemistry); Hydrolysis; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005572077,0.0001616092,0.0002591076,0.0003075498,0.00002180448,0.00003288555,0.000149971,0.0001196422,0.000003960019],"category_scores_gemma":[0.0002630276,0.0001512357,0.00004021951,0.0001964365,0.00008511846,0.0000744112,0.0000347199,0.00013076,2.093684e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003880178,"about_ca_system_score_gemma":0.00009536366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002848881,"about_ca_topic_score_gemma":0.000002586178,"domain_scores_codex":[0.9987692,0.00007062368,0.0005061135,0.0002047992,0.0002940688,0.0001552371],"domain_scores_gemma":[0.998705,0.00001917086,0.0005501015,0.0001050375,0.0005282887,0.00009236683],"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":[0.0002673571,0.00008010647,0.02314808,0.00002380193,0.00006433171,0.000003380376,0.0001685117,0.000005077546,0.9750262,0.00002714531,0.0001077396,0.00107827],"study_design_scores_gemma":[0.001646577,0.002309378,0.02264442,0.00005069873,0.00002767107,0.0001113961,0.0001869073,0.00005085214,0.9710524,0.00002271539,0.00174318,0.0001537868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947256,0.00239029,0.002041173,0.0001009237,0.0004003553,0.00009737282,0.00003633801,0.000003546162,0.0002044149],"genre_scores_gemma":[0.9933456,0.0006884676,0.005505567,0.00004373248,0.0003100868,0.000003531985,0.00006410768,0.00001641729,0.0000224765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003973774,"threshold_uncertainty_score":0.6167212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020880309118895,"score_gpt":0.2271546925491529,"score_spread":0.2169458894579639,"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."}}