The Current State of Veterinary Vaccines: Is There Hope for the Future?
Bibliographic record
Abstract
This article is an overview and assessment of available veterinary vaccines, placed in a historical context. A more complete presentation of the main tenets of the symposium talk at Agenda for Action: Veterinary Medicine's Role in Biodefense and Public Health is published elsewhere.' The symposium presentation contained a critical evaluation of the current state of the field of veterinary vaccines for both food and companion animals and of promises for future vaccine development. There is considerable variability in safety and sustained efficacy among veterinary vaccines, especially those developed for companion animals. Standardization of vaccines and vaccinal strains and detailed knowledge of their safety, efficacy, and potency and of the duration of immunity are needed before rational recommendations can truly be made. It is proposed that the establishment of an international vaccine advisory committee be supported, which would function to apprise the veterinary profession of the current status of vaccines and their use, and that a system for reporting vaccine adverse events, similar to that for humans, should be established.
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 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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.014 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".