{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008373155,0.0002497237,0.000639074,0.0003872041,0.00004914424,0.00002809532,0.0003803693,0.0002229279,0.00004675455],"category_scores_gemma":[0.000409842,0.0002472564,0.0003003225,0.0008833279,0.0001196498,0.000007820453,0.0002378294,0.0002295313,0.00001451086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003882927,"about_ca_system_score_gemma":0.00009607166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003208224,"about_ca_topic_score_gemma":0.0000391118,"domain_scores_codex":[0.9971488,0.0005971762,0.0008008557,0.0006680788,0.0005371402,0.0002479493],"domain_scores_gemma":[0.9979202,0.00007058511,0.0004236175,0.001016823,0.0004629153,0.000105845],"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":[0.001083584,0.0006914356,0.05267261,0.00001716623,0.001337608,0.000006261912,0.0003123957,0.007599387,0.93545,0.00006465185,0.00002519253,0.0007397525],"study_design_scores_gemma":[0.001526622,0.00132354,0.01957434,0.00001663639,0.0003745728,1.400954e-7,0.0005659197,0.04668444,0.9294234,0.00002153643,0.0002700066,0.0002188504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687304,0.0001162229,0.02928585,0.00003003559,0.00007235703,0.001048999,0.0002632746,0.000009447707,0.0004434186],"genre_scores_gemma":[0.9846955,0.000005087554,0.01432231,0.00002940968,0.000025733,0.00001775421,0.0008128356,0.00002737857,0.00006402277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03908505,"threshold_uncertainty_score":0.999998,"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."}}