{"id":"W1989589839","doi":"10.1111/j.1432-1033.2004.04433.x","title":"The structure and biological characteristics of the <i>Spirochaeta aurantia</i> outer membrane glycolipid LGL<sub>B</sub>","year":2004,"lang":"en","type":"article","venue":"European Journal of Biochemistry","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Institute for Biological Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Glycolipid; Residue (chemistry); Bacterial outer membrane; Lipopolysaccharide; Chemistry; Chromatography; Lipid A; Lysis; Monosaccharide; Molecular mass; Biochemistry; Rhamnose; Mass spectrometry; Limulus; Biology; Polysaccharide; Escherichia coli","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":[0.00007332172,0.0003565195,0.00009538862,0.0002657231,0.0001169692,0.000245849,0.0001321827,0.0003037673,0.0003819183],"category_scores_gemma":[0.0001462765,0.00009159937,0.0001509469,0.0002296332,0.0001925008,0.0001653468,0.0001178381,0.0002149482,0.0002779464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476232,"about_ca_system_score_gemma":0.0001208335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682961,"about_ca_topic_score_gemma":0.0002951915,"domain_scores_codex":[0.9999524,0.000008999355,0.000003878959,0.00001244308,0.00000926204,0.00001289998],"domain_scores_gemma":[0.9998436,0.00001868661,0.00006566576,0.00001180411,0.00002909641,0.00003117837],"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":[0.00006824075,0.000007841114,0.001212086,0.00002157435,0.000001763232,0.00004679498,0.00001480536,0.00002178844,0.9977021,0.00001768929,0.000008938971,0.0008763761],"study_design_scores_gemma":[0.00001703124,0.000879991,0.1765656,0.00001908415,0.00004292103,0.001164307,0.0001575088,0.0007033185,0.8157374,0.0001808146,0.004515825,0.0000163692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974384,0.0007994782,0.0006660292,0.00005536775,0.00000608628,0.000006179332,0.0004178626,0.00001451701,0.0005960292],"genre_scores_gemma":[0.9968899,0.0004239996,0.0008783203,0.00004564145,0.00001120778,0.000007586429,0.001060277,0.000005619869,0.000677493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005682961,"threshold_uncertainty_score":0.001277626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005089718656450941,"score_gpt":0.1789640304537566,"score_spread":0.1738743117973056,"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."}}