{"id":"W4236679755","doi":"10.1002/ange.201606006","title":"Total Biosynthesis of Legionaminic Acid, a Bacterial Sialic Acid Analogue","year":2016,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Joint Attosecond Science Laboratory; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Glycobiology; Campylobacter jejuni; Legionella pneumophila; Microbiology; Biochemistry; Sialic acid; Escherichia coli; Biology; Biosynthesis; Bacteria; Bacterial cell structure; Neuraminic acid; Glycoconjugate; Virulence; Glycan; Chemistry; Enzyme; Glycoprotein; Gene","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":[0.0001426911,0.0001605012,0.0001995394,0.00005207547,0.00004664381,0.00001301177,0.000236179,0.0001884099,0.0002199219],"category_scores_gemma":[0.0001589174,0.0001110403,0.0001578666,0.0001042422,0.0002050179,0.000007836475,0.0001492756,0.00004944218,0.00003370945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001866913,"about_ca_system_score_gemma":0.0001080769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002585416,"about_ca_topic_score_gemma":0.00002060206,"domain_scores_codex":[0.9989142,0.00003723448,0.0002133396,0.0003399937,0.0001785959,0.0003166805],"domain_scores_gemma":[0.9992921,0.00002556192,0.00008254557,0.0003960185,0.00009093121,0.0001127856],"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":[0.0001666962,0.0000559598,0.0006113385,0.00001869247,0.00006845364,0.000005446246,0.00002116302,4.712235e-8,0.9931579,0.00002193315,0.003678335,0.002194091],"study_design_scores_gemma":[0.0007360749,0.0001599089,0.0007237362,0.00003028963,0.00001649665,0.00002015508,0.00002334013,2.409487e-7,0.9802153,0.00003158305,0.01787511,0.0001677605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966952,0.0004386077,0.0001235998,0.0006172321,0.0001401577,0.0001008518,0.0001151309,0.00001230193,0.001756912],"genre_scores_gemma":[0.9975526,0.0003519034,0.0001016738,0.00006198166,0.0005965363,0.00001758531,0.00009342903,0.00002338333,0.001200891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419677,"threshold_uncertainty_score":0.4528094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729875171413089,"score_gpt":0.2535148942561471,"score_spread":0.2362161425420163,"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."}}