Recent Advances in the Development of Adenovirus- and Poxvirus- Vectored Tuberculosis Vaccines
Bibliographic record
Abstract
Tuberculosis vaccine research began with the search for a vaccine that might be better than, and thus could replace, the current Bacillus Calmette Guérin (BCG) vaccine. Over the last fifteen years or so, intense research effort has led to the identification of a number of novel tuberculosis (TB) vaccines which can be divided into 4 categories: genetically modified mycobacteria, protein, plasmid DNA and viral. However, it is increasingly believed that the current BCG vaccine will continue to be used as a childhood vaccine and that more effort should be directed to developing appropriate boosting vaccines. Mounting evidence suggests that recombinant genetic vaccines, particularly recombinant viral vaccines, are effective in boosting immune activation and protection by BCG vaccination. Since modified vaccinia virus Ankara (MVA)- and adenovirus-vectored TB vaccines have been most extensively studied, this review will focus on recent advances in the development and applications of these two viral TB vaccines.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".