{"id":"W2325899314","doi":"10.1021/pr401115y","title":"GlycoMaster DB: Software To Assist the Automated Identification of N-Linked Glycopeptides by Tandem Mass Spectrometry","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glycan; Glycopeptide; Tandem mass spectrometry; Glycosylation; Chemistry; Mass spectrometry; Computational biology; Peptide; Glycoprotein; Chromatography; Biochemistry; Biology","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":[0.004333767,0.003217448,0.002092947,0.003114452,0.0006610989,0.001899696,0.003524649,0.001108948,0.01660411],"category_scores_gemma":[0.004117171,0.001873137,0.001351215,0.001507588,0.000587228,0.002111836,0.003233496,0.003239306,0.01664175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556835,"about_ca_system_score_gemma":0.001764953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945799,"about_ca_topic_score_gemma":0.001368625,"domain_scores_codex":[0.9984651,0.0002674657,0.0002272562,0.0002919758,0.0005635833,0.0001847081],"domain_scores_gemma":[0.99844,0.0006054717,0.000243234,0.0001910466,0.0003721688,0.000148093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004713003,0.0005488026,0.007458144,0.003914216,0.00116838,0.001663286,0.000778525,0.007046547,0.1446511,0.007115603,0.5105345,0.3104079],"study_design_scores_gemma":[0.00180398,0.0005785601,0.01279264,0.0006979183,0.0003893015,0.003701738,0.0002364734,0.1918567,0.2220792,0.01601141,0.549087,0.0007650713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01139173,0.002160638,0.3499647,0.0003879633,0.0003442546,0.000679516,0.03052249,0.5992067,0.00534202],"genre_scores_gemma":[0.04648244,0.002459835,0.7932329,0.001590852,0.0001833284,0.003226397,0.08566236,0.05871387,0.008447986],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.01660411,"threshold_uncertainty_score":0.05554634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026626126133893,"score_gpt":0.3504487600071238,"score_spread":0.3238226338732308,"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."}}