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CPG ODN allows lower dose of antigen against hepatitis B surface antigen in BALB/c mice

2003· article· en· W1967921153 on OpenAlexafffund
Risini D. Weeratna, Lacrimioara Comanita, Heather L. Davis

Bibliographic record

VenueImmunology and Cell Biology · 2003
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsAlumAntigenAdjuvantCpG OligodeoxynucleotideAntibodyImmunologyVirologyMedicineMolecular biologyChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

We have evaluated alum, immunostimulatory cytosine guanine dinucleotide-containing oligodeoxy-nucleotides (CPG ODN), and an alum/CPG ODN combination as adjuvants with hepatitis B surface antigen, to compare their potential to allow lower doses of antigen to be used for induction of humoral responses. BALB/c mice were immunized by intramuscular injection with 0.01, 0.1 or 1.0 micro g recombinant hepatitis B surface antigen without adjuvant or with alum and/or CPG ODN added. When given without adjuvant or with alum, each 10-fold decrease in amount of antigen resulted in a similarly reduced titre of antibody against hepatitis B surface antigen. In contrast, CPG ODN, on its own or combined with alum, allowed high anti-hepatitis B surface antigen titres even with a 1000-fold reduction in amount of antigen. These findings may have important immunological and economical consequences for vaccine development.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.247
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations45
Published2003
Admission routes2
Has abstractyes

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