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Meningococcal Vaccines

2004· article· en· W4206665019 on OpenAlexaboutno aff
Lisa Danzig

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
Fundersnot available
KeywordsNeisseria meningitidisReverse vaccinologyConjugate vaccineAntigenVirologyMeningococcal diseaseGlycoconjugateMeningococcal vaccineNeisseriaMicrobiologyBacterial outer membraneNeisseriaceaeVaccinationBiologyImmunizationMedicineGeneBacteriaImmunologyAntibioticsEscherichia coliGeneticsBioinformaticsEpitope

Abstract

fetched live from OpenAlex

BACKGROUND: The 5 major pathogenic serogroups of the Gram-negative encapsulated bacterium Neisseria meningitidis are A, B, C, Y, and W135. In the 1960s, vaccines consisting of purified capsular polysaccharide antigens were developed against serogroups A, C, Y, and W135. These vaccines were highly effective among adults but were not efficacious among infants and young children. Capsular polysaccharide-protein conjugate vaccines were subsequently developed. METHODS: The development of second-generation capsular polysaccharide glycoconjugate vaccines that are effective among infants and children is reviewed. The approaches for development of a broadly protective serogroup B vaccine, including attempts toward optimization of outer membrane vesicle vaccines and identification of conserved antigens, are discussed. CONCLUSIONS: Monovalent serogroup C conjugate vaccines have been successful in reducing the burden of serogroup C meningococcal disease among infants, older children, and adults in the United Kingdom and Canada. Tetravalent serogroup A/C/W/Y conjugate vaccines are in late stage development. The use of serogroup B capsular polysaccharide as the basis for a vaccine for prevention of serogroup B meningococcal disease has proved problematic. The recent sequencing of the serogroup B genome led to the identification of additional, genome-derived, neisserial antigens, through a process called "reverse vaccinology."

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.231
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2004
Admission routes1
Has abstractyes

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