{"id":"W2046974944","doi":"10.3791/51349","title":"Glycopeptide Capture for Cell Surface Proteomics","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Glycoproteomics; Glycosylation; Proteomics; Glycan; Proteome; Biomarker discovery; Glycopeptide; Computational biology; Glycoprotein; Biology; Membrane protein; Cell; Chemistry; Cell biology; Biochemistry; Membrane; Gene","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":[0.0005824696,0.0008282002,0.0004149442,0.0005022644,0.000316618,0.0003487523,0.0005592547,0.0006630117,0.0013482],"category_scores_gemma":[0.000375383,0.0002330327,0.0003471194,0.000564225,0.0002291306,0.0004073269,0.0005498527,0.0008331152,0.001368193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449045,"about_ca_system_score_gemma":0.0002944649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004026314,"about_ca_topic_score_gemma":0.0007313622,"domain_scores_codex":[0.9995173,0.0001183917,0.00002365117,0.0001090406,0.000188274,0.0000434205],"domain_scores_gemma":[0.999872,0.00004663149,0.00001595799,0.00002310624,0.00002945488,0.0000128888],"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":[0.00004362637,0.00003480454,0.0001422422,0.0001910238,0.00001878338,0.00006313736,0.00001418785,0.0001567276,0.9808058,0.0007268688,0.0008190273,0.01698381],"study_design_scores_gemma":[0.00002304457,0.0001769044,0.001758392,0.00003379821,0.00003061505,0.000628904,0.00001853655,0.005316488,0.9685287,0.001046504,0.02241259,0.00002553582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283775,0.02219111,0.8362377,0.0008523248,0.0005151799,0.0007564051,0.001774633,0.001405141,0.007890081],"genre_scores_gemma":[0.3440639,0.0227664,0.6197323,0.001126056,0.0002441601,0.0009406673,0.003534734,0.0001923338,0.007399433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0013482,"threshold_uncertainty_score":0.004510164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001002702202998,"score_gpt":0.3950027218326004,"score_spread":0.3749926948105704,"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."}}