{"id":"W2964002622","doi":"10.1007/978-1-4939-9639-1_25","title":"New Advances in Amino Acid Profiling in Biological Samples by Capillary Electrophoresis-Mass Spectrometry","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Chromatography; Derivatization; Amino acid; Capillary electrophoresis–mass spectrometry; Mass spectrometry; Electrospray ionization; Capillary electrophoresis; Metabolomics; Sample preparation; Electrospray; Analytical Chemistry (journal); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002631528,0.001197881,0.001190081,0.002150379,0.0004052426,0.00175462,0.001308031,0.001079376,0.001348311],"category_scores_gemma":[0.001969742,0.0004540561,0.0006744508,0.001709118,0.001179726,0.002453823,0.001229171,0.002065798,0.0007601104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007900128,"about_ca_system_score_gemma":0.001085353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007635531,"about_ca_topic_score_gemma":0.001121019,"domain_scores_codex":[0.9987043,0.0002569451,0.00007342194,0.0003438322,0.0005458231,0.00007552416],"domain_scores_gemma":[0.9985317,0.0005539256,0.0001239804,0.0001138731,0.0005383125,0.0001381999],"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":[0.0004461381,0.0002208277,0.002455224,0.002639391,0.0001753313,0.0002844966,0.0003075705,0.0007998614,0.642122,0.01876747,0.005130569,0.3266511],"study_design_scores_gemma":[0.0001119802,0.0008074733,0.007446387,0.0004758564,0.0004260415,0.003402069,0.0003053333,0.02848687,0.6723782,0.02385239,0.2619327,0.000374796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.07347222,0.5283522,0.3776908,0.006352439,0.002032465,0.0001305297,0.0005385856,0.001090964,0.01033986],"genre_scores_gemma":[0.2678595,0.2813425,0.4332768,0.003986659,0.003851365,0.0002849187,0.0007836091,0.0002441943,0.008370413],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002631528,"threshold_uncertainty_score":0.01391703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009838234212154878,"score_gpt":0.2979744608893196,"score_spread":0.2881362266771648,"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."}}