{"id":"W2321794224","doi":"10.1021/ac101831t","title":"Methylamidation for Sialoglycomics by MALDI-MS: A Facile Derivatization Strategy for Both α2,3- and α2,6-Linked Sialic Acids","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"National Research Council Canada; National Natural Science Foundation of China","keywords":"Chemistry; Sialic acid; Derivatization; Glycan; Fetuin; Chromatography; Sialidase; Mass spectrometry; Matrix-assisted laser desorption/ionization; Electrospray ionization; Glycoprotein; Carboxylic acid; Biochemistry; Organic chemistry; Desorption; Neuraminidase","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002586375,0.0001830237,0.000181909,0.00002460747,0.0001306893,0.00007360478,0.0001637627,0.0003927369,0.0001044374],"category_scores_gemma":[0.000651424,0.0001838198,0.0001002655,0.0000938786,0.0001360002,0.00001149763,0.00005682217,0.0001646531,0.000002567026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466773,"about_ca_system_score_gemma":0.00009458412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001304098,"about_ca_topic_score_gemma":0.00001600278,"domain_scores_codex":[0.998787,0.00001691404,0.000280096,0.0004505641,0.0001507471,0.0003146823],"domain_scores_gemma":[0.9992027,0.00005848219,0.00008025725,0.0002876228,0.0002012782,0.0001697039],"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":[0.0001659432,0.00005824714,0.0003692959,0.0001147181,0.00004198859,2.968071e-7,0.000007254202,0.00001795295,0.9942693,0.0005464332,0.00198332,0.002425268],"study_design_scores_gemma":[0.001409584,0.0001748962,0.0002280613,0.000004843359,0.00003960856,0.000006346911,0.0000388451,0.01233594,0.911944,0.0009030696,0.07264051,0.00027426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333632,0.00009739362,0.06386264,0.0004175394,0.00004207181,0.0006162254,0.0002691935,0.00002417681,0.00130754],"genre_scores_gemma":[0.992275,0.00004105375,0.001984351,0.0001285189,0.0002758237,0.0001548035,0.002497639,0.00002973014,0.002613086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08232525,"threshold_uncertainty_score":0.7495954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844140209811452,"score_gpt":0.3078138063326628,"score_spread":0.2893724042345482,"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."}}