{"id":"W2092117678","doi":"10.1021/ac0512711","title":"Determination and Characterization of Site-Specific N-Glycosylation Using MALDI-Qq-TOF Tandem Mass Spectrometry:  Case Study with a Plant Protease","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Glycosylation; Glycan; Tandem mass spectrometry; Chromatography; Mass spectrometry; Glycoprotein; Glycopeptide; Oligosaccharide; Matrix-assisted laser desorption/ionization; N-linked glycosylation; Peptide; Biochemistry; Organic chemistry","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":[0.000172544,0.0001559444,0.0001708576,0.00006279963,0.00008028781,0.00004548723,0.00006099755,0.000122129,0.00008021366],"category_scores_gemma":[0.00003132638,0.0001409255,0.0000371393,0.000222987,0.00008328903,0.00001042812,0.00004137567,0.000107186,0.000001403351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003418506,"about_ca_system_score_gemma":0.00005109462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009306303,"about_ca_topic_score_gemma":0.00002725454,"domain_scores_codex":[0.9988601,0.00004081749,0.0002730984,0.0003621577,0.0002694771,0.0001943846],"domain_scores_gemma":[0.9993823,0.0000122189,0.0001262532,0.0002383651,0.0001539028,0.00008694651],"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":[0.0001684919,0.0001866404,0.04391773,0.00005212857,0.00001975181,0.0002502603,0.00001364655,0.0000406247,0.9551808,0.000009460658,0.000005072573,0.0001554263],"study_design_scores_gemma":[0.001866365,0.0005879148,0.01260468,0.00003885545,0.0000792096,0.001044481,0.000225643,0.04020748,0.9425245,0.00002430802,0.0004209706,0.0003755791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923241,0.00003292028,0.006876632,0.00001678631,0.000005899713,0.0004062797,0.00003970135,0.0000101324,0.0002875802],"genre_scores_gemma":[0.9983234,0.000009236777,0.0008993208,0.000005606559,0.0001231583,0.00001734293,0.0003341188,0.00001851778,0.0002692326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04016686,"threshold_uncertainty_score":0.5746776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547096379258233,"score_gpt":0.2636484803187951,"score_spread":0.2481775165262127,"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."}}