Neurological signs in lambs as indication for BVDV circulation in a cattle young stock rearing herd
Bibliographic record
Abstract
Abstract Twin lambs, born on a farm where cattle young stock and sheep were raised together in the same barn, presented with neurological signs. As border disease could not be ruled out, samples were sent for diagnostic testing and subsequent sequence comparison to identify potential infection with sheep or cattle pestiviruses. The 5′UTR polymerase chain reaction (PCR) confirmed that both lambs and one calf were infected with a bovine viral diarrhoea virus (BVDV) 1b strain. Additional analysis of the E2 and NS5b PCR products demonstrated a ∼100% sequence identity for 5′UTR, E2, and NS5b. Viral transmission from a persistently infected (PI) calf to the sheep dam during pregnancy was considered the most likely route of infection. In spite of the advice to separate and slaughter the lambs, as they could act as a source of infection to the rest of the sheep and cattle, they remained in the flock. Over time they overcame the clinical signs and were slaughtered at the end of the season. This case demonstrates that sheep can be infected with BVDV. Neurological signs and other health problems in sheep could indicate a BVDV infection in both sheep and cattle when reared in close contact.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".