Visceral Leishmaniasis Control and Elimination: Is There a Role for Vaccines in Achieving Regional and Global Goals?
Bibliographic record
Abstract
In September 2015, the National Institute of Allergy and Infectious Diseases organized a workshop to address the roles of vaccines in achieving regional and global goals for visceral leishmaniasis (VL) control and elimination, a critical step in determining desired product characteristics as well as research and development needs and opportunities. Although current regional programs and strategies are making progress to control and perhaps eliminate the disease in some endemic areas, such as India, Bangladesh, and Nepal, workshop participants concluded that vaccines would still be necessary to sustain elimination efforts and ultimately block and reduce transmission. In addition, vaccines would be valuable and even critical tools for other areas of the world, such as east Africa, where treatment options are more limited and control programs for VL are less effective. Because different disease foci present different epidemiological features, product characteristics should be carefully designed to reflect vaccines that either target common antigens for all forms of VL or are tailored to fit regional needs.
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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 | 0.018 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".