{"id":"W2112882269","doi":"10.1016/j.chembiol.2014.11.016","title":"Antigenic Potential of a Highly Conserved Neisseria meningitidis Lipopolysaccharide Inner Core Structure Defined by Chemical Synthesis","year":2015,"lang":"en","type":"article","venue":"Chemistry & Biology","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Studienstiftung des Deutschen Volkes; Max-Planck-Gesellschaft; Körber-Stiftung; Bundesministerium für Bildung und Forschung","keywords":"Neisseria meningitidis; Tetrasaccharide; Glycan; Glycoconjugate; Antigen; Lipopolysaccharide; Epitope; Microbiology; Polyclonal antibodies; Biology; Antibody; Neisseriaceae; Bacteria; Immunology; Molecular biology; Glycoprotein; Biochemistry; Antibiotics; Polysaccharide; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001045784,0.0002610872,0.0005528779,0.00003500154,0.0000704198,0.000009955676,0.000271723,0.0007265102,0.001562366],"category_scores_gemma":[0.0003514685,0.0002232045,0.0001380704,0.0001082276,0.0003261561,0.00004215596,0.0001288554,0.0002405404,0.00003415165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003479734,"about_ca_system_score_gemma":0.000118499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003065177,"about_ca_topic_score_gemma":0.000005507044,"domain_scores_codex":[0.9987442,0.00006630474,0.0004312898,0.0003805544,0.00001286469,0.0003648205],"domain_scores_gemma":[0.9990935,0.000101693,0.0002386896,0.0003387571,0.0001651542,0.00006225178],"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":[0.0002646413,0.00009638219,0.002237333,0.00002779435,0.0002252106,8.038991e-7,0.00002562522,4.117709e-7,0.990822,0.00007881384,0.00575702,0.0004640131],"study_design_scores_gemma":[0.0009703876,0.00006610296,0.0001667074,0.00001621595,0.00009874451,0.0001794528,0.00006103525,0.000002391485,0.9884286,0.0002423619,0.00954022,0.000227806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971282,0.001169994,0.00002527313,0.0002064763,0.0006486861,0.00008627462,0.0005175164,0.00007842024,0.0001391952],"genre_scores_gemma":[0.9984882,0.00003237595,0.0001334448,0.00003097469,0.0001158837,0.00001828034,0.0008331742,0.00002066125,0.0003270162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0037832,"threshold_uncertainty_score":0.9993504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546202031552075,"score_gpt":0.2358477834106435,"score_spread":0.2203857630951228,"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."}}