{"id":"W2093208477","doi":"10.1021/ac4021177","title":"Concurrent Automated Sequencing of the Glycan and Peptide Portions of <i>O</i>-Linked Glycopeptide Anions by Ultraviolet Photodissociation Mass Spectrometry","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Canadian Institutes of Health Research; National Institutes of Health; Alberta Heritage Foundation for Medical Research; National Institute of General Medical Sciences; Alberta Glycomics Centre","keywords":"Chemistry; Glycan; Glycopeptide; Peptide; Glycosylation; Glycosidic bond; Tandem mass spectrometry; Mass spectrometry; Peptide sequence; Fragmentation (computing); Biochemistry; Glycoprotein; Combinatorial chemistry; Chromatography; Enzyme","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781124,0.0005827895,0.0003561053,0.0003779884,0.000249271,0.0005451761,0.0004301175,0.0003962629,0.0004504263],"category_scores_gemma":[0.0007371936,0.0001830795,0.0002593614,0.0003151763,0.000308817,0.0004163375,0.0005233395,0.0005499159,0.0003307639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165312,"about_ca_system_score_gemma":0.0004937873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003766373,"about_ca_topic_score_gemma":0.0006112223,"domain_scores_codex":[0.9995882,0.0000614962,0.00002398261,0.0001497714,0.0001442397,0.00003243027],"domain_scores_gemma":[0.9996884,0.00007699308,0.00007342179,0.00002603484,0.0000973398,0.00003781312],"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":[0.00008236321,0.000008496518,0.0002773094,0.00002125559,0.000005384664,0.00002526555,0.00001499009,0.00006573786,0.9956195,0.00004307902,0.00002986371,0.003806877],"study_design_scores_gemma":[0.00001679845,0.0002207208,0.003326027,0.000006311373,0.00001824738,0.0003591088,0.00003299825,0.003785051,0.9905206,0.0001448503,0.001553081,0.0000161908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567837,0.001685527,0.137939,0.0001079582,0.000059996,0.000247507,0.000846975,0.000595468,0.001733844],"genre_scores_gemma":[0.744161,0.001698064,0.2500097,0.0002809953,0.00004465921,0.0002747726,0.001323762,0.0002066546,0.002000463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005827895,"threshold_uncertainty_score":0.003057361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00874343343719314,"score_gpt":0.2583312705416417,"score_spread":0.2495878371044486,"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."}}