{"id":"W2345877793","doi":"10.1039/c6ay00407e","title":"Determination of underivatized amino acids in microsamples of a yeast nutritional supplement by LC-MS following microwave assisted acid hydrolysis","year":2016,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chromatography; Derivatization; Hydrolysis; Chemistry; Microscale chemistry; Mass spectrometry; Acid hydrolysis; Amino acid; High-performance liquid chromatography; Yeast; Organic chemistry; Biochemistry","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":[0.0004584578,0.0001223868,0.0002957518,0.00009346388,0.00002351959,0.000005903055,0.0001405319,0.0001096336,0.00003631809],"category_scores_gemma":[0.0003096304,0.00009770205,0.0001948905,0.0002183898,0.0001218293,0.000006194055,0.00007995403,0.00003870345,9.993098e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001698521,"about_ca_system_score_gemma":0.00003922526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002769492,"about_ca_topic_score_gemma":0.00002058773,"domain_scores_codex":[0.9987777,0.000193325,0.0004486378,0.0002671521,0.0001289422,0.0001842278],"domain_scores_gemma":[0.9993724,0.000110403,0.0001321278,0.0002621792,0.00006466914,0.00005823537],"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":[0.00003187425,0.0001625857,0.002338372,0.00001377178,0.00005534435,4.196222e-7,0.0000135544,1.56804e-7,0.9781126,0.0004985826,0.0001040393,0.01866867],"study_design_scores_gemma":[0.001132376,0.00006225028,0.01181186,0.00002638023,0.00008532592,0.000001928896,0.00002576375,0.0001370372,0.9823638,0.001051102,0.003182327,0.0001199176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5695248,0.0002597838,0.4294265,0.0002794098,0.00002164685,0.0001156423,0.0002782001,0.00000317539,0.00009084453],"genre_scores_gemma":[0.8000905,0.00004741164,0.1994579,0.00003419162,0.00002910797,0.00003167415,0.0002123344,0.000009699165,0.00008716281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305657,"threshold_uncertainty_score":0.3984174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400730208809001,"score_gpt":0.3480398998542117,"score_spread":0.3240325977661217,"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."}}