{"id":"W2122219747","doi":"10.1002/9780470054581.eib349","title":"Protein Glycosylation: Methods for Determination","year":2009,"lang":"en","type":"other","venue":"Encyclopedia of Industrial Biotechnology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Glycan; Glycosylation; Glycoprotein; Exoglycosidase; Biopharmaceutical; Computational biology; Chemistry; Bioprocess; Mass spectrometry; Capillary electrophoresis; Computer science; Chromatography; Biochemistry; Biology; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533461,0.001839246,0.001325922,0.003792837,0.000653425,0.001464394,0.001555866,0.001051519,0.01097406],"category_scores_gemma":[0.001203964,0.0007123568,0.0008935363,0.00408571,0.001035117,0.001535405,0.001552951,0.002649984,0.02059394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008853087,"about_ca_system_score_gemma":0.0008861852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008616097,"about_ca_topic_score_gemma":0.0009210948,"domain_scores_codex":[0.998135,0.0003856221,0.0001725165,0.0003336136,0.0008850953,0.0000880971],"domain_scores_gemma":[0.9994109,0.000120399,0.00007047562,0.0001332042,0.0002328014,0.00003217102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002229989,0.0002726357,0.0007167786,0.005819707,0.0001389203,0.0004995317,0.00030397,0.001097935,0.2481673,0.03166161,0.06995841,0.6411403],"study_design_scores_gemma":[0.0000215353,0.0001251154,0.001477459,0.0007702994,0.00006193568,0.001008383,0.00008437314,0.001690249,0.07806112,0.008833809,0.9078044,0.00006127299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007109481,0.2478378,0.6659063,0.002352923,0.00337904,0.001119698,0.007804166,0.004646767,0.05984383],"genre_scores_gemma":[0.03127485,0.2196811,0.6248232,0.001530456,0.000634441,0.003292454,0.01406086,0.001773219,0.1029294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01097406,"threshold_uncertainty_score":0.03671187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568865011556249,"score_gpt":0.3411918725695463,"score_spread":0.3155032224539838,"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."}}