{"id":"W2051926957","doi":"10.1002/pmic.201100567","title":"Targeted glycomics by selected reaction monitoring for highly sensitive glycan compositional analysis","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"National Center for Research Resources","keywords":"Glycomics; Glycan; Biomarker; Detection limit; Biomarker discovery; Computational biology; Biology; Cancer detection; Cancer; Biochemistry; Chemistry; Chromatography; Proteomics; Glycoprotein; Gene; Genetics","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":[0.001838709,0.001278902,0.0007185867,0.0009330742,0.0002474182,0.0006936947,0.0007758759,0.0009458799,0.000961928],"category_scores_gemma":[0.001300214,0.0004655937,0.0006355289,0.00081738,0.0006635787,0.0006568559,0.0008123911,0.001561246,0.0006391442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005264452,"about_ca_system_score_gemma":0.0004664697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002937583,"about_ca_topic_score_gemma":0.0005776318,"domain_scores_codex":[0.9980106,0.0006667685,0.00006079557,0.0004563494,0.0007051242,0.0001004153],"domain_scores_gemma":[0.999361,0.0002750019,0.0001435395,0.0000609068,0.0001141616,0.00004547644],"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":[0.00007937664,0.00002680642,0.0002195362,0.0000856313,0.00002488095,0.00004721313,0.00002191938,0.0003520593,0.9890803,0.0004132391,0.0001574332,0.009491682],"study_design_scores_gemma":[0.00002304118,0.0003131773,0.0009606302,0.00001138337,0.00003079592,0.0003716541,0.00001353656,0.01206175,0.9826082,0.0004061832,0.003168952,0.00003060289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.145401,0.003545201,0.8464978,0.0003188893,0.0001854724,0.0002978183,0.000499121,0.001565887,0.001688885],"genre_scores_gemma":[0.3778896,0.005861124,0.6115215,0.000580745,0.0001332134,0.0006447251,0.0006110675,0.0001655279,0.002592601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001838709,"threshold_uncertainty_score":0.00972414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176831239300221,"score_gpt":0.2790163402468482,"score_spread":0.267248027853846,"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."}}