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Record W2161612964 · doi:10.2174/156720106776359212

Biphasic Lipid Vesicles as a Subcutaneous Delivery System for Protein Antigens and CpG Oligonucleotides

2006· article· en· W2161612964 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Drug Delivery · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsOligonucleotideVesicleAntigenLipid vesicleChemistryCpG siteBiologyDNABiochemistryImmunologyGeneDNA methylation

Abstract

fetched live from OpenAlex

One of the major drawbacks to the development of novel vaccines has been the lack of safe yet effective adjuvants. Biphasic lipid vesicles are formulations suitable for the delivery of proteins, peptides and oligo/polynucleotides. They constitute a new class of delivery system into which antigens and adjuvants can be incorporated. The purpose of these studies was to investigate the ability of biphasic lipid vesicles (Vaccine-Targeting Adjuvants--VTA) to induce immune responses to bacterial antigens and to enhance the adjuvant activity of CpG ODNs. Immunization of mice with bacterial antigen and CpG ODNs in saline was not as effective at inducing immune responses as formulation in VTA vesicles. Results showed that formulation of CpG ODN in VTA significantly enhanced its adjuvanticity.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.030
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.233
Teacher spread0.223 · 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