{"id":"W2979940307","doi":"10.1074/mcp.ra119.001677","title":"NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Alberta Glycomics Centre; University of Alberta; Health Canada","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Österreichische Forschungsförderungsgesellschaft; Vetenskapsrådet; National Research Foundation of Korea; Alberta Glycomics Centre; Magyarország Kormánya; Chinese Academy of Sciences; National Cancer Institute; Svenska Forskningsrådet Formas; Health Canada; National Natural Science Foundation of China; Government of Canada; Deutsche Forschungsgemeinschaft; European Commission; ARC Centre for Nanoscale BioPhotonics; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung; National Institutes of Health; Sage Therapeutics; Science Foundation Ireland; Texas Tech University","keywords":"NIST; Monoclonal antibody; Glycosylation; Computational biology; Chemistry; Antibody; Biochemistry; Biology; Computer science; Immunology","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":[0.03781111,0.0009563682,0.0006138181,0.003444976,0.001410842,0.001062995,0.001021079,0.001045972,0.0005496895],"category_scores_gemma":[0.03030047,0.0003642352,0.001081902,0.002590278,0.001590095,0.0005410554,0.002129243,0.0006620204,0.0003906095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009363466,"about_ca_system_score_gemma":0.001226349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371199,"about_ca_topic_score_gemma":0.00345976,"domain_scores_codex":[0.9407971,0.02773897,0.003645711,0.006443246,0.02025867,0.001116369],"domain_scores_gemma":[0.9725417,0.01195077,0.003262229,0.004500268,0.007022415,0.0007227312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003660863,0.001050517,0.4348964,0.0008915776,0.001954427,0.0004375792,0.004445152,0.00263781,0.4455402,0.001343952,0.001254806,0.1018867],"study_design_scores_gemma":[0.0001227235,0.004999581,0.6562291,0.0001341001,0.0008682311,0.002089562,0.001046997,0.004892133,0.3217902,0.0006648461,0.006977152,0.000185361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496997,0.003491576,0.04014112,0.0002021085,0.0001335888,0.0004108181,0.0008157096,0.0003737749,0.004731571],"genre_scores_gemma":[0.9685274,0.0005306279,0.02813672,0.0002283343,0.000068709,0.0002067068,0.001521029,0.00009080025,0.000689671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03781111,"threshold_uncertainty_score":0.1999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034619597021518,"score_gpt":0.3726357336532356,"score_spread":0.3422895376830204,"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."}}