{"id":"W4225397936","doi":"10.1096/fasebj.2022.36.s1.r3002","title":"Genetically encoded multivalent liquid glycan array displayed on M13 bacteriophage","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Cumulative Environmental Management Association; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Glycan; Glycosylation; Bacteriophage; Biology; Phagemid; Chemistry; Computational biology; Molecular biology; Biochemistry; Gene; 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":[0.00009884224,0.0003309973,0.0001869454,0.0001669341,0.0001245515,0.0002863278,0.0002251199,0.000278362,0.0007178208],"category_scores_gemma":[0.00007437203,0.0001344636,0.0002374801,0.0001767291,0.0001684528,0.0001268481,0.0002383328,0.0003417707,0.00036165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034398,"about_ca_system_score_gemma":0.00017379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007217667,"about_ca_topic_score_gemma":0.0007226611,"domain_scores_codex":[0.9999034,0.00001157508,0.000005159571,0.00002257394,0.00002852894,0.00002877166],"domain_scores_gemma":[0.9999532,0.000004792455,0.00001340774,0.000005633983,0.000007924198,0.00001522351],"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":[0.00003551158,0.00001126488,0.00006001734,0.000009481299,0.000001559639,0.00001717328,0.000004268172,0.00006503429,0.9991609,0.00006611257,0.00001913829,0.0005495814],"study_design_scores_gemma":[0.00000654952,0.0001560206,0.0007083969,0.000002694668,0.000004908236,0.00004029518,0.000005582762,0.001062303,0.9969665,0.00002438883,0.001017654,0.000004746296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889269,0.0003108559,0.00890724,0.00004118487,0.00002866357,0.00003153543,0.0002436415,0.0002083972,0.00130164],"genre_scores_gemma":[0.9809808,0.0003108032,0.01370015,0.00005178488,0.000006463021,0.00005009632,0.0005192932,0.00006136888,0.004319273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007217667,"threshold_uncertainty_score":0.002927125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439352327659523,"score_gpt":0.2662498675521779,"score_spread":0.2518563442755827,"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."}}