{"id":"W2800459063","doi":"10.1002/anie.201803540","title":"Effective Assignment of α2,3/α2,6‐Sialic Acid Isomers by LC‐MS/MS‐Based Glycoproteomics","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Thermo Fisher Scientific (Canada)","funders":"Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Bundesministerium für Bildung, Wissenschaft und Forschung; Sahlgrenska Universitetssjukhuset; Vetenskapsrådet; IngaBritt och Arne Lundbergs Forskningsstiftelse; Sahlgrenska Akademin; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Knut och Alice Wallenbergs Stiftelse; Bundesministerium für Wissenschaft und Forschung; Verband der Chemischen Industrie","keywords":"Glycoproteomics; Oxonium ion; Sialic acid; Glycosidic bond; Chemistry; Glycan; Glycoprotein; Mass spectrometry; Biochemistry; Computational biology; Chromatography; Biology; Ion; Organic chemistry; Enzyme","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":[0.0007403945,0.0009501006,0.0003594682,0.0008141707,0.0003096398,0.0007761561,0.0003558022,0.0005137236,0.0008449693],"category_scores_gemma":[0.0006765337,0.0003079209,0.0003323884,0.0004953029,0.0004111242,0.0006424764,0.0006568125,0.0008001842,0.0005284862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399325,"about_ca_system_score_gemma":0.0005899267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005561774,"about_ca_topic_score_gemma":0.001188576,"domain_scores_codex":[0.9996576,0.00006565762,0.0000180029,0.00008844758,0.0001141695,0.00005605238],"domain_scores_gemma":[0.9998145,0.00005002083,0.00003411622,0.00002148324,0.00004983579,0.00003016451],"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":[0.00009319563,0.00001239869,0.0004193549,0.00004654099,0.00001480956,0.00003979362,0.00001578725,0.00008943256,0.9932695,0.0001857998,0.00007652937,0.00573694],"study_design_scores_gemma":[0.00001247997,0.00008777557,0.002950769,0.0000119278,0.00003323191,0.0002443546,0.00003281288,0.003961354,0.9906905,0.000277416,0.001679317,0.00001808201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8166894,0.004305499,0.1693543,0.0004300548,0.0001310706,0.0003312031,0.003017048,0.0006253613,0.005116099],"genre_scores_gemma":[0.8312101,0.00601885,0.157636,0.0004122897,0.00006254079,0.0002748296,0.001660637,0.0001499423,0.002574904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009501006,"threshold_uncertainty_score":0.003915608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898463376215385,"score_gpt":0.2779492393773482,"score_spread":0.2689646056151944,"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."}}