{"id":"W2434006333","doi":"10.1021/acs.accounts.6b00164","title":"Twenty Years of Mycobacterial Glycans: Furanosides and Beyond","year":2016,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Carbohydrate Chemistry and Synthesis","field":"Chemistry","cited_by":80,"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; Canada Research Chairs; National Institutes of Health; National Science Foundation","keywords":"Glycan; Lipoarabinomannan; Glycome; Arabinogalactan; Mycobacterium tuberculosis; Cell wall; Furanose; Glycomics; Glycobiology; Chemistry; Glycosylation; Mycobacterium; Computational biology; Tuberculosis; Biology; Biochemistry; Microbiology; Bacteria; Ring (chemistry); Glycoprotein; Genetics; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004065531,0.0001120999,0.0002793613,0.00005340132,0.00002148791,0.00001915567,0.000369795,0.0002070809,0.001591742],"category_scores_gemma":[0.001562739,0.00008914408,0.00007708965,0.0001407021,0.0007170326,0.0001275549,0.000242491,0.0001701691,0.00001057517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005716625,"about_ca_system_score_gemma":0.00008999535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005728147,"about_ca_topic_score_gemma":0.000001162035,"domain_scores_codex":[0.9983439,0.00002022851,0.0003253362,0.0002970488,0.000664012,0.0003494729],"domain_scores_gemma":[0.9979725,0.001156045,0.00008371201,0.0004129786,0.0002480983,0.0001266476],"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":[0.0002979552,0.000069375,0.001165314,0.0001967291,0.00003660129,0.000004458136,0.00007406958,8.444368e-9,0.9809456,0.00008808995,0.0005571687,0.01656466],"study_design_scores_gemma":[0.0005698988,0.00001135546,0.0002370662,0.0001542407,0.0000104478,0.000003579471,0.00008303635,0.000001171393,0.9957542,0.001162407,0.001910705,0.0001018804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904615,0.0001177647,5.123011e-7,0.0002467156,0.00002438854,0.000038151,0.0001471579,0.00001229785,0.008951467],"genre_scores_gemma":[0.9992304,0.0001960424,0.00004534353,0.000006661778,0.0001624765,0.00001227851,0.000007391527,0.00001723653,0.0003222141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01646278,"threshold_uncertainty_score":0.9993209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231216973041223,"score_gpt":0.3090258932703254,"score_spread":0.2767137235399132,"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."}}