{"id":"W2161740787","doi":"10.1021/ac5010212","title":"Simple Capillary Electrophoresis–Mass Spectrometry Method for Complex Glycan Analysis Using a Flow-Through Microvial Interface","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Glycan; Capillary electrophoresis; Chromatography; Mass spectrometry; Glycosylation; Derivatization; Chinese hamster ovary cell; Biochemistry; Glycoprotein","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":[0.001434796,0.001864225,0.0009328817,0.002171953,0.0007558333,0.0006304907,0.00160371,0.002037898,0.002454367],"category_scores_gemma":[0.00105798,0.0005777128,0.0007420919,0.0007806955,0.0007895898,0.0009337118,0.0010406,0.001643086,0.001501255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020723,"about_ca_system_score_gemma":0.001214424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064915,"about_ca_topic_score_gemma":0.001620925,"domain_scores_codex":[0.9979287,0.0002780138,0.0001072498,0.0006269902,0.0009415928,0.0001174121],"domain_scores_gemma":[0.9993672,0.0001760872,0.00009158908,0.00006676967,0.0002356267,0.00006275471],"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":[0.00007829608,0.00007222692,0.0003821668,0.000240756,0.00006730614,0.0001057841,0.00003592606,0.0001224685,0.9781395,0.0008548174,0.001068401,0.01883254],"study_design_scores_gemma":[0.00005576768,0.0004628805,0.003458378,0.00004524227,0.00008128757,0.002231777,0.00004197439,0.0130711,0.9586171,0.0009733685,0.02083316,0.0001280263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09884883,0.0106247,0.8754002,0.0005682644,0.0008685697,0.001208898,0.001137081,0.006831804,0.004511781],"genre_scores_gemma":[0.2336677,0.005741543,0.7452223,0.001206703,0.0002237099,0.002063054,0.001903178,0.0003113282,0.009660566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002454367,"threshold_uncertainty_score":0.008210659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392292817395676,"score_gpt":0.2789131462439691,"score_spread":0.2649902180700123,"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."}}