{"id":"W3191053174","doi":"10.1038/s42003-021-02455-w","title":"Identification, mapping and relative quantitation of SARS-CoV-2 Spike glycopeptides by Mass-Retention Time Fingerprinting","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Medicines Initiative; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; Wellcome Trust; Diamond Light Source; McGill University; European Commission; Pfizer","keywords":"Glycopeptide; Glycan; Mass spectrometry; Chromatography; Chemistry; Spike (software development); Peptide; Elution; Computational biology; Glycoprotein; Computer science; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007607678,0.0005214877,0.0004522803,0.001370791,0.0003387821,0.0005604356,0.0004742533,0.0005298965,0.0008729504],"category_scores_gemma":[0.0009872095,0.0002704026,0.0005034608,0.0007329761,0.0002134992,0.0005276116,0.000353119,0.0006770539,0.0007715906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499685,"about_ca_system_score_gemma":0.0004734173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006183948,"about_ca_topic_score_gemma":0.0008852383,"domain_scores_codex":[0.999453,0.00006745502,0.00004323334,0.0001201372,0.0002720502,0.00004412457],"domain_scores_gemma":[0.9995189,0.0001149736,0.0001027978,0.00008234701,0.0001337315,0.00004731489],"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":[0.00006023157,0.00001644591,0.0003951543,0.00002213006,0.000007280604,0.00002493874,0.00001117045,0.00008573672,0.9936212,0.00006799942,0.00004043197,0.00564724],"study_design_scores_gemma":[0.000009119679,0.0001960195,0.006590297,0.00000518067,0.00001819982,0.0006295343,0.0000183748,0.004845724,0.9855843,0.0001578899,0.001928757,0.00001654043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6732346,0.002213844,0.31683,0.0001994433,0.00008340717,0.0002784012,0.003790243,0.001319993,0.002050137],"genre_scores_gemma":[0.4728613,0.001525934,0.5152656,0.0002616178,0.00004821195,0.0003200061,0.007037769,0.0002039283,0.002475667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370791,"threshold_uncertainty_score":0.004023373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05709197407386703,"score_gpt":0.3476412298955848,"score_spread":0.2905492558217178,"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."}}