{"id":"W2466145131","doi":"10.1021/acs.analchem.6b02044","title":"Screening Oligosaccharide Libraries against Lectins Using the Proxy Protein Electrospray Ionization Mass Spectrometry Assay","year":2016,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Alberta Innovates - Technology Futures","keywords":"Chemistry; Electrospray ionization; Mass spectrometry; Oligosaccharide; Lectin; Chromatography; Ligand binding assay; Ligand (biochemistry); Protein ligand; Biochemistry","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":[0.0005026559,0.0008950632,0.0004744095,0.0007277747,0.0002185917,0.0005542535,0.0005898434,0.0004544957,0.0009409196],"category_scores_gemma":[0.0006215267,0.0002871844,0.0003241103,0.0006032294,0.0003101628,0.0002981849,0.0004673367,0.0004460157,0.0006527556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602357,"about_ca_system_score_gemma":0.0003601839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004530212,"about_ca_topic_score_gemma":0.0009123051,"domain_scores_codex":[0.9991303,0.0001699292,0.00005898562,0.0001247712,0.0004479234,0.00006809539],"domain_scores_gemma":[0.9997117,0.00007835414,0.0000675545,0.00003004451,0.00006784032,0.00004455374],"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":[0.00003046214,0.00003340596,0.0001902428,0.00003447253,0.000005497985,0.00002633258,0.000005576232,0.0001791861,0.9958307,0.0001190694,0.00006071341,0.003484325],"study_design_scores_gemma":[0.000009658385,0.0002246772,0.001077104,0.000006249067,0.00001204639,0.0001905702,0.000009616218,0.003779311,0.9923407,0.00007524401,0.002264585,0.0000101473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4918876,0.002083904,0.4941554,0.0002795109,0.00008615657,0.0013639,0.001499819,0.002578062,0.006065686],"genre_scores_gemma":[0.5685421,0.003797221,0.4143722,0.0003060093,0.00003440501,0.001411848,0.002602307,0.0001545151,0.008779212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009409196,"threshold_uncertainty_score":0.003339291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705867144401441,"score_gpt":0.2723061130082077,"score_spread":0.2552474415641933,"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."}}