Bibliographic record
Abstract
Passive surveillance is an important component of wildlife health surveillance that allows for the identification of emerging pathogens as well as population-level threats. We investigated the most common causes of morbidity and mortality in rodents and lagomorphs submitted to the Canadian Wildlife Health Cooperative (CWHC) in Ontario and the Ontario Veterinary College (OVC) over a 30-yr period. A total of 836 cases representing 13 species of rodents and three species of lagomorph were submitted to the CWHC and the OVC wildlife pathology service. Infectious or inflammatory diagnoses were most common in our data set, followed by trauma and unknown diagnoses. The most frequently identified primary diagnosis was encephalitis with histological lesions consistent with neural larva migrans including the presence of inflammation and malacia of brain tissue and, in some cases, characteristic nematode larvae. Other infectious diagnoses were squirrel fibroma virus and Toxoplasma gondii infections. Knowledge of common pathogens observed in various species of rodents and lagomorphs can aid in triage and treatment decisions at veterinary clinics and wildlife rehabilitation centers, and guide sample collection and test requisition at post-mortem examination.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".