{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421733,0.0001318202,0.0001887054,0.00002230739,0.0000688721,0.00001991425,0.0001863477,0.0001552916,0.0002320103],"category_scores_gemma":[0.0003503023,0.0001068512,0.0001140994,0.0002407831,0.0002070557,0.000007366767,0.00007730476,0.000161046,0.000003604128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000423985,"about_ca_system_score_gemma":0.00012612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685445,"about_ca_topic_score_gemma":0.000006129654,"domain_scores_codex":[0.9988459,0.00004081591,0.000366619,0.0002497088,0.0002707096,0.0002262433],"domain_scores_gemma":[0.999146,0.00002977358,0.0001782436,0.0002997103,0.0002228994,0.0001234007],"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":[0.000006295756,0.00004597884,0.005484871,0.00004990508,0.00005415029,3.070449e-7,0.00001058125,0.00001121223,0.990538,0.00004447708,0.00368041,0.00007380921],"study_design_scores_gemma":[0.0004170663,0.0000515918,0.008547697,0.00003473671,0.0000326311,0.00000679882,0.0001511346,0.003957091,0.9860283,0.00006739675,0.0005785024,0.000127114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953578,0.0001384774,0.0003021701,0.0002553939,0.00001682718,0.0002215399,0.0001079526,0.00001800855,0.003581851],"genre_scores_gemma":[0.9980493,0.00006448531,0.0001530332,0.00004387716,0.00003275621,0.00001831359,0.0001821468,0.00001230589,0.001443822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004509763,"threshold_uncertainty_score":0.4357264,"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."}}