Recent Advances in the Development of Adenovirus- and Poxvirus- Vectored Tuberculosis Vaccines
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it