{"id":"W2029812730","doi":"10.1006/abio.2002.5651","title":"A Study of Immunoglobulin G Glycosylation in Monoclonal and Polyclonal Species by Electrospray and Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry","year":2002,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Chemistry; Chromatography; Mass spectrometry; Electrospray ionization; Glycan; Polyclonal antibodies; Electrospray; Tandem mass spectrometry; Matrix-assisted laser desorption/ionization; High-performance liquid chromatography; Oligosaccharide; Capillary electrophoresis–mass spectrometry; Desorption; Biochemistry; Antibody; Glycoprotein","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":[0.0001708284,0.0001682898,0.0001975351,0.0001024891,0.00006162361,0.00004488454,0.000101372,0.0001825633,0.0001669453],"category_scores_gemma":[0.0001573526,0.0001696723,0.00004031912,0.0004034866,0.0001258882,0.00001048596,0.00007434535,0.0001613074,0.00000316103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003897467,"about_ca_system_score_gemma":0.00002387205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003488755,"about_ca_topic_score_gemma":0.00001800546,"domain_scores_codex":[0.998663,0.0000589712,0.000338716,0.0004125022,0.000281354,0.0002454572],"domain_scores_gemma":[0.9994764,0.00002693479,0.00008479586,0.0002159182,0.00008923047,0.0001067382],"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":[0.0001600856,0.0003939496,0.05603754,0.00002689741,0.00005191774,0.000005852478,0.00002091786,0.000008914022,0.9426165,0.00003518007,0.0003165655,0.0003257094],"study_design_scores_gemma":[0.002883099,0.0008010062,0.09670279,0.00002275124,0.0000424139,0.0000467638,0.0002521449,0.003357676,0.8949658,0.00006012194,0.0005089784,0.0003564654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975571,0.00115356,0.0003277626,0.0001938217,0.000008239333,0.0002025648,0.00003166987,0.000007995332,0.0005172892],"genre_scores_gemma":[0.9974932,0.0003193393,0.0004173861,0.00002343094,0.00004326335,0.0000123388,0.0001780564,0.00001373775,0.001499267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04765068,"threshold_uncertainty_score":0.6919038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317059645749623,"score_gpt":0.2659792459023499,"score_spread":0.2528086494448537,"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."}}