First report and genomic characterization of a bovine‐like coronavirus causing enteric infection in an odd‐toed non‐ruminant species (Indonesian tapir, <i>Acrocodia indica</i> ) during an outbreak of winter dysentery in a zoo
Bibliographic record
Abstract
Bovine coronavirus (BCoV) is associated with three distinct clinical syndromes in cattle that is, neonatal diarrhoea, haemorrhagic diarrhoea in adults (the so-called winter dysentery syndrome, WD) and respiratory infections in cattle of different ages. In addition, bovine-like CoVs have been detected in various species including domestic and wild ruminants. However, bovine-like CoVs have not been reported so far in odd-toed ungulates. We describe an outbreak of WD associated with a bovine-like CoV affecting several captive wild ungulates, including Indonesian tapirs (Acrocodia indica) an odd-toed ungulate species (Perissodactyla) which, with even-toed ungulates species (Artiodactyla) form the clade Euungulata. Genomic characterization of the CoV revealed that it was closely related to BCoVs previously reported in America. This case illustrates the adaptability of bovine-like CoVs to new species and the necessity of continued surveillance of bovine-like CoVs in various species.
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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".