{"id":"W304117529","doi":"10.1021/acs.analchem.5b01835","title":"Capillary Electrophoresis-Electrospray Ionization-Mass Spectrometry for Quantitative Analysis of Glycans Labeled with Multiplex Carbonyl-Reactive Tandem Mass Tags","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; National Center for Research Resources; University of British Columbia","keywords":"Chemistry; Capillary electrophoresis; Chromatography; Mass spectrometry; Multiplex; Protein mass spectrometry; Tandem mass spectrometry; Electrospray ionization; Capillary electrophoresis–mass spectrometry; Extractive electrospray ionization; Electrospray; Selected reaction monitoring; Top-down proteomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190807,0.001285001,0.0006656107,0.001241305,0.0003029575,0.0005197676,0.0005571882,0.00090174,0.0006608249],"category_scores_gemma":[0.001030152,0.0002885558,0.0003570947,0.001148923,0.0003767524,0.0005884638,0.0005867788,0.0009135785,0.0004004513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099697,"about_ca_system_score_gemma":0.0008095479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008499569,"about_ca_topic_score_gemma":0.001384824,"domain_scores_codex":[0.9990522,0.000129566,0.00005110977,0.0002135244,0.0004913948,0.0000621358],"domain_scores_gemma":[0.9994808,0.0001629394,0.00009577442,0.00002642315,0.0001746635,0.00005937764],"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":[0.00009941021,0.00004892117,0.0006144379,0.0001966397,0.00003530371,0.00008138586,0.00003732646,0.0002884009,0.9798734,0.0003590157,0.0003260589,0.01803974],"study_design_scores_gemma":[0.00002014747,0.0002158354,0.003379659,0.00002294384,0.00005420103,0.0008352867,0.00003194386,0.01583486,0.9746462,0.0003149726,0.004608506,0.00003555252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4680901,0.04349129,0.4773689,0.0005255345,0.0004717627,0.0007540383,0.002519253,0.003304399,0.003474777],"genre_scores_gemma":[0.5160825,0.01593883,0.461635,0.0006610434,0.0001204895,0.000787876,0.001567128,0.000126237,0.003080899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001285001,"threshold_uncertainty_score":0.006602347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029020079612081,"score_gpt":0.2983063939273436,"score_spread":0.2780161931312228,"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."}}