{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004418877,0.0003980891,0.0002278607,0.0003936585,0.0004215442,0.0002620656,0.0003269575,0.0004369662,0.0005007304],"category_scores_gemma":[0.0005670554,0.0001723688,0.0002378434,0.0003889663,0.0002368662,0.0003623119,0.0002209501,0.0004404144,0.0001942089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336114,"about_ca_system_score_gemma":0.0002114712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006424048,"about_ca_topic_score_gemma":0.0008058763,"domain_scores_codex":[0.999817,0.00002841044,0.00001331781,0.00003898981,0.00007002761,0.00003218907],"domain_scores_gemma":[0.9997104,0.00008986891,0.00004049295,0.00002481243,0.00008268018,0.00005170003],"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":[0.00004960168,0.00001557329,0.0001922738,0.00001311273,0.000004150579,0.00002200732,0.00001324285,0.00001020006,0.9982952,0.00005209313,0.00002163317,0.001310766],"study_design_scores_gemma":[0.00002249503,0.0004417836,0.009706513,0.000005923337,0.00003465002,0.001118192,0.00004203074,0.0007116157,0.9854857,0.0001900162,0.002229853,0.00001132212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786313,0.002323504,0.01647827,0.0001383901,0.00003650758,0.00006826156,0.000237763,0.0001366129,0.001949434],"genre_scores_gemma":[0.9765443,0.001693171,0.01871783,0.0002137016,0.00002971046,0.0000706173,0.000881718,0.00004863886,0.001800296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006424048,"threshold_uncertainty_score":0.002336979,"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."}}