{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002034814,0.0001578865,0.0002826933,0.00002945238,0.00009389062,0.00003520765,0.0002992584,0.000117397,0.0001112078],"category_scores_gemma":[0.00004632583,0.0001392777,0.0001703867,0.00005327588,0.00002974852,0.0001170457,0.00004122089,0.0001853192,0.000005171421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000887147,"about_ca_system_score_gemma":0.00004284577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005081047,"about_ca_topic_score_gemma":1.472437e-7,"domain_scores_codex":[0.9989612,0.0000148685,0.0004829645,0.0001509865,0.0001835163,0.000206542],"domain_scores_gemma":[0.9988206,0.00005731366,0.0005934726,0.0002305557,0.0001795418,0.0001185285],"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":[0.0001915793,0.0001797165,0.00007832493,0.00004229193,0.0000185977,7.400472e-7,0.0001659146,0.00006086818,0.9967208,0.0006802161,0.001670815,0.0001901646],"study_design_scores_gemma":[0.001728763,0.00008153632,0.000001200674,0.00005030728,0.00001804058,0.00001291295,0.0001341999,0.0004897775,0.946662,0.002106539,0.04856497,0.0001497772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5139701,0.0002651995,0.4810538,0.0001120914,0.00007192304,0.000327244,0.0000171047,0.00004719316,0.00413533],"genre_scores_gemma":[0.4444339,0.00004596959,0.5537824,0.0001257579,0.000194958,0.00006224211,0.000008038357,0.00004251857,0.001304207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07272865,"threshold_uncertainty_score":0.5679579,"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."}}