{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004919169,0.000230496,0.0004837774,0.001533716,0.0001582383,0.00009232188,0.0007190478,0.0003123821,0.0003426839],"category_scores_gemma":[0.002555685,0.0001568661,0.0005028433,0.001615445,0.0002069066,0.00003757296,0.000216104,0.0004620432,0.00003348186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408411,"about_ca_system_score_gemma":0.000667767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000823931,"about_ca_topic_score_gemma":0.0003116805,"domain_scores_codex":[0.995858,0.0005787187,0.0008743264,0.0004887589,0.001316437,0.0008837996],"domain_scores_gemma":[0.9969994,0.0001595194,0.00031311,0.0006002103,0.001639215,0.0002885716],"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":[0.002451143,0.0002183834,0.006912332,0.0000787754,0.0004319306,0.00005509174,0.00006133893,0.00002716864,0.9747748,0.00005527122,0.001398382,0.01353543],"study_design_scores_gemma":[0.009881759,0.004250603,0.04780758,0.0002753456,0.0001136241,0.0001301927,0.0002147314,0.0002260246,0.876495,0.00103959,0.05892114,0.0006444182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652529,0.0005395832,0.02920024,0.001972698,0.0001079474,0.002500975,0.00004754237,0.000008582114,0.000369488],"genre_scores_gemma":[0.9885591,0.0001514557,0.006403928,0.00003099512,0.0003545404,0.0004469863,0.00001273585,0.00004349369,0.00399672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09827976,"threshold_uncertainty_score":0.6396814,"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."}}