Canine circoviral hemorrhagic enteritis in a dog in Connecticut
Bibliographic record
Abstract
A 5-mo-old Bassett Hound-Labrador Retriever cross was autopsied following a bout of lethargy, inappetence, and bleeding gums. Mucous membranes were white, and the small intestine was blue-black; the colon contained black feces. The spleen was swollen, and multiple lymph nodes were enlarged and hemorrhagic. Microscopically, the small intestine had focal crypt cell necrosis and circumferential transmural vasculitis, the latter the cause of infarction and the blue-black coloration. Lymphocytes were necrotic in spleen and lymph nodes, and erythrophagocytosis was present in some nodes. Vasculitis was present in brain, meninges, lung, liver, and kidneys. Electron microscopy revealed aggregates of 15-18 nm round viral particles in damaged crypt cells and in the endothelium of small blood vessels. Electron-dense intracytoplasmic inclusions consisting of paracrystalline-arrayed virus were demonstrated in macrophages in medullary lymph node sinuses. These virions were identified as circovirus, which was confirmed by real-time PCR and sequencing.
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 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 | 0.001 | 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 | 0.000 |
| 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".