{"id":"W2029593415","doi":"10.1021/ja0723380","title":"Ligand Specificity of CS-35, a Monoclonal Antibody That Recognizes Mycobacterial Lipoarabinomannan:  A Model System for Oligofuranoside−Protein Recognition","year":2007,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Calgary; University of Alberta","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Chemistry; Tetrasaccharide; Lipoarabinomannan; Glycoconjugate; Epitope; Stereochemistry; Biochemistry; Carbohydrate conformation; Glycosylation; Monoclonal antibody; Ligand (biochemistry); Oligosaccharide; Nuclear magnetic resonance spectroscopy; Antibody; Polysaccharide","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002159126,0.0003043732,0.0001690185,0.0001742042,0.0001473882,0.0002381606,0.0003364925,0.0003710556,0.0006917386],"category_scores_gemma":[0.0001376382,0.00009919775,0.000161454,0.0001783386,0.0002545048,0.0001462015,0.0001522622,0.000414109,0.0003774448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306347,"about_ca_system_score_gemma":0.0002824275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016118,"about_ca_topic_score_gemma":0.001608669,"domain_scores_codex":[0.9997366,0.00005901297,0.00001293848,0.00006379448,0.00007479543,0.00005276965],"domain_scores_gemma":[0.999909,0.00002823605,0.00001447017,0.000008521032,0.00001558332,0.00002420735],"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":[0.0000151962,0.000005144576,0.00002635668,0.00001281677,7.670124e-7,0.000005618027,0.000005710407,0.00004521909,0.9993604,0.00007884418,0.00001411326,0.0004297617],"study_design_scores_gemma":[0.000004746156,0.0001038522,0.0005050632,0.000002649981,0.000004283495,0.00007056961,0.000006095592,0.00115616,0.9964277,0.00002414118,0.001690724,0.000003974661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794068,0.001476933,0.01603424,0.0001168072,0.00002793247,0.0000900378,0.0003048366,0.0001569399,0.002385567],"genre_scores_gemma":[0.9844763,0.0005046825,0.01304389,0.0001080186,0.000008386653,0.00003301043,0.0004659972,0.0000209003,0.001338936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002016118,"threshold_uncertainty_score":0.00400877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631996251983508,"score_gpt":0.2927777358507392,"score_spread":0.2664577733309041,"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."}}