{"id":"W4372258824","doi":"10.1021/acs.analchem.2c04581","title":"Analysis of Sialic Acid Linkage in N-Linked Glycopeptides Using Liquid Chromatography–Electron-Activated Dissociation Time-of-Flight Mass Spectrometry","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sciex (Canada)","funders":"","keywords":"Chemistry; Glycopeptide; Chromatography; Glycosidic bond; Electron-transfer dissociation; Mass spectrometry; Sialic acid; Fetuin; Derivatization; High-performance liquid chromatography; Tandem mass spectrometry; Dissociation (chemistry); Formic acid; Glycoprotein; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003679928,0.0008506415,0.0003597798,0.0008326894,0.0003960113,0.0004326082,0.0003487131,0.0006940802,0.0004921345],"category_scores_gemma":[0.0004622851,0.0001917296,0.00035595,0.0005159879,0.0003616069,0.0005652385,0.0003419172,0.0007021008,0.000339021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129844,"about_ca_system_score_gemma":0.0004480909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008324764,"about_ca_topic_score_gemma":0.001342935,"domain_scores_codex":[0.9996774,0.00004051765,0.00001941625,0.00008616524,0.0001401259,0.00003633604],"domain_scores_gemma":[0.9998215,0.0000418183,0.00004606857,0.00001318925,0.00005074,0.00002668931],"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":[0.0000578109,0.00002421242,0.001204989,0.00006321727,0.00002459188,0.0001017014,0.00002113158,0.00007113176,0.9912855,0.0001340431,0.00005645572,0.006955142],"study_design_scores_gemma":[0.00001425652,0.0001542989,0.01074219,0.00001275141,0.00006715409,0.001270711,0.00005104928,0.005670885,0.9788138,0.0003002113,0.002869464,0.0000332809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164533,0.01006655,0.1671907,0.0003617267,0.0001377673,0.0001950893,0.001387561,0.0005629037,0.003644402],"genre_scores_gemma":[0.8030341,0.007139063,0.1838527,0.0005892643,0.00008727015,0.0002275731,0.001567484,0.0001093497,0.003393065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008506415,"threshold_uncertainty_score":0.002270877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541472271273383,"score_gpt":0.3021258551596779,"score_spread":0.2867111324469441,"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."}}