MétaCan
Menu
Back to cohort
Record W1992463335 · doi:10.4161/hv.6.4.10867

Development of TNFSF as molecular adjuvants for ALVAC HIV-1 vaccines

2010· article· en· W1992463335 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHuman Vaccines · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsImmunogenicityMedicineHIV vaccineAdjuvantVaccinationClinical trialImmunologyAIDS VaccinesVaccine trialVirologyHuman immunodeficiency virus (HIV)Immune systemInternal medicine

Abstract

fetched live from OpenAlex

A phase III clinical trial finished in Thailand recently showed that an ALVAC HIV-1 vaccine prime-gp120 protein boost vaccination regimen could modestly protect persons from HIV-1 infection, demonstrating that development of an effective and safe HIV-1 preventive vaccine is possible. ALVAC HIV-1 vaccines are candidate HIV-1 vaccines based on canarypox vectors. Previous clinical trials proved that ALVAC HIV-1 vaccines were safe but weak in immunogenicity when used in human subjects. We have been exploring to use tumor necrosis factor superfamily (TNFSF) members as adjuvants to enhance the immunogenicity of ALVAC HIV-1 vaccines. In this commentary, we will summarize our findings in using two TNFSF molecules, CD40L and OX40L, as adjuvants for an ALVAC HIV-1 vaccine in mouse model. We will also briefly discuss the challenges and prospects of using TNFSF molecules as adjuvants for HIV-1 vaccines in humans.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.167
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)0.0020.001

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 head0.019
GPT teacher head0.303
Teacher spread0.285 · 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