{"id":"W2345465070","doi":"10.1021/acs.jproteome.6b00056","title":"Detergent-Assisted Glycoprotein Capture: A Versatile Tool for In-Depth N-Glycoproteome Analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Glycoprotein; Glycosylation; Glycoproteomics; Chemistry; Biochemistry; Hydrophilic interaction chromatography; Proteome; Membrane protein; Chromatography; Membrane; Glycan; High-performance liquid chromatography","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":[0.0005960311,0.0006851488,0.0004714558,0.0007209837,0.0003632019,0.000461958,0.0005074859,0.0005283612,0.0004181502],"category_scores_gemma":[0.0002661711,0.0003210467,0.0003469308,0.0004570126,0.0003125285,0.0004719882,0.0005720276,0.0007617921,0.0004241113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526529,"about_ca_system_score_gemma":0.0002781946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003740876,"about_ca_topic_score_gemma":0.0009212422,"domain_scores_codex":[0.9996477,0.00007490413,0.00002149493,0.00007428856,0.0001439571,0.00003764474],"domain_scores_gemma":[0.9998773,0.00003419205,0.00002440118,0.00002388283,0.00002316943,0.00001701487],"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":[0.000009140918,0.000006225989,0.00008777084,0.00003478338,0.000005014493,0.000025395,0.000007215376,0.0000236802,0.9975047,0.00005654722,0.00003852859,0.002201018],"study_design_scores_gemma":[0.000007131053,0.00005399947,0.001323344,0.000006694291,0.00001152264,0.0004681077,0.00001126837,0.001273692,0.992655,0.0001016635,0.004075409,0.00001227908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5161971,0.01089409,0.4664753,0.0006401222,0.0001492992,0.0004859868,0.001389438,0.001157538,0.002611068],"genre_scores_gemma":[0.5842149,0.01122609,0.3963253,0.0004431756,0.0000835252,0.0003241971,0.00225421,0.0001477093,0.004980809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007209837,"threshold_uncertainty_score":0.003152132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05165329291319753,"score_gpt":0.3720745623212947,"score_spread":0.3204212694080972,"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."}}