{"id":"W4386560682","doi":"10.1038/s42004-023-00988-1","title":"Simplifying glycan monitoring of complex antigens such as the SARS-CoV-2 spike to accelerate vaccine development","year":2023,"lang":"en","type":"article","venue":"Communications Chemistry","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; National Research Council Canada","funders":"","keywords":"Glycosylation; Glycan; Monosaccharide; Hydrophilic interaction chromatography; Glycoprotein; Context (archaeology); Chemistry; Glycopeptide; Biochemistry; Computational biology; Chromatography; Biology; High-performance liquid chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000137406,0.0001414759,0.0001276192,0.00002790691,0.0004206845,0.000036397,0.0009454301,0.00008100448,0.00001946152],"category_scores_gemma":[0.0001001202,0.0001236492,0.00007494068,0.0003135331,0.00005649328,0.000003914138,0.0009654545,0.0001122409,0.0000416358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002088917,"about_ca_system_score_gemma":0.0001073154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003519451,"about_ca_topic_score_gemma":0.00001087429,"domain_scores_codex":[0.9991205,0.00003664912,0.0002852507,0.0002219538,0.0001182799,0.0002173429],"domain_scores_gemma":[0.9981104,0.00003013727,0.0001068012,0.00153475,0.0001538806,0.00006407977],"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":[0.00001762211,0.00004885139,0.004561516,0.0000320284,0.00004504096,5.644701e-7,0.0001644648,0.00007384957,0.9870077,0.000006483519,0.006569612,0.001472308],"study_design_scores_gemma":[0.0001636454,0.00002060938,0.01079611,0.00003960839,0.00000944529,0.000005490206,0.0002871153,0.00004231834,0.9167153,0.00002899284,0.07175057,0.0001407952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996077,0.0003828747,0.00009551496,0.0006231865,0.00006394716,0.000155786,0.00001787754,0.0000439764,0.002539832],"genre_scores_gemma":[0.9976742,0.0004046477,0.0008588291,0.0002200818,0.0001016214,0.00009591886,0.0002320218,0.00002232585,0.0003904084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07029236,"threshold_uncertainty_score":0.5042269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08948506800661525,"score_gpt":0.3747102125258678,"score_spread":0.2852251445192525,"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."}}