Infectious Bursal Disease Virus as a Surrogate for Studies on Survival of Various Poultry Viruses in Compost
Bibliographic record
Abstract
Infectious bursal disease virus (IBDV) is resistant to many environmental stresses and often persists on farms for months. This study investigated survival of a vaccine strain of IBDV in the bursa of Fabricius and splenic tissue from experimentally infected chickens and in splenic tissue and manure that had been inoculated with the virus. The specimens buried in compost were contained within nylon mesh bags, and the tissues were enclosed within the abdominal cavity of chicken carcasses. Extracts of composted specimens were inoculated into Vero cell cultures, and real-time reverse transcriptase PCR was used to quantify the virus in the cultures. By day 7 in compost, the temperature had been slightly above 55 C for 2.6 days and IBDV had been inactivated in specimens that had been inoculated with virus but had survived in tissues that had been taken from infected chickens. By day 14, the temperature had been above 55 C for 8.8 days and the virus was inactivated in all specimens. The results suggest that composting of poultry carcasses and manure would help to break the cycle of infection with IBDV and that the virus could be valuable as a surrogate for predicting the inactivation of less resistant viruses during composting.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".