Emergence of mortality due to centrilobular to massive hepatic necrosis in western Canadian beef calves.
Bibliographic record
Abstract
Neonatal beef calves can succumb to several common diseases, including diarrhea and pneumonia, but death associated with hepatic disease is uncommon in this age group. Since 2022, a syndrome characterized by massive hepatic necrosis has been observed in western Canadian neonatal beef calves. This case series describes the clinical presentation, pathology, and ancillary testing done in 22 cases, highlighting the young age (1 to 5 d), varied symptoms observed, and unique liver pathology. Based on the pathology, a toxic cause was suspected, and toxic copper concentrations in kidney tissues were detected in 9/22 cases. Further investigation is required to understand this potentially emerging disease and prevent further occurrences. Key clinical message: Practitioners and pathologists should be aware of a new syndrome of hepatic necrosis in neonatal beef calves when evaluating neonatal calf mortality on western Canadian beef cattle operations. Further study is needed to understand the epidemiology of this condition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".