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Record W2063088890 · doi:10.1310/hct1205-275

Vitamin D Supplementation Does Not Increase Immunogenicity of Seasonal Influenza Vaccine in HIV-Infected Adults

2011· article· en· W2063088890 on OpenAlexaff
Curtis Cooper, Anona Thorne

Bibliographic record

VenueHIV Clinical Trials · 2011
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsHIV Legal NetworkOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsImmunogenicityMedicineSeroconversionInfluenza vaccineVitaminHuman immunodeficiency virus (HIV)PopulationVirologyImmunologyPhysiologyInternal medicineAntibodyEnvironmental healthVaccination

Abstract

fetched live from OpenAlex

The influence of vitamin D on influenza vaccine immunogenicity in HIV was assessed using data from a phase 3, randomized trial conducted during the 2008-2009 influ-enza season. Thirty-three percent of participants were on supplemental vitamin D at baseline. Neither seroconversion nor seroprotection were predicted by vitamin D use for any of the 3 vaccine strains. There is no evidence of improved influenza vaccine immunogenicity with vitamin D supplementation in this HIV-positive population.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.183
GPT teacher head0.468
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

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 designRandomized trial
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

Citations29
Published2011
Admission routes1
Has abstractyes

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