Bibliographic record
Abstract
Peracute infectious canine hepatitis (ICH) was diagnosed in two young male dogs out of 56 dead canines presented for necropsy examination during the period of April 2009 to June 2010. These dogs were purebred, one- month old Alsatian and 5-month old Labrador. None of the dogs had received any vaccination or deworming treatment; both had died after illness lasting for six hours and twenty four hours respectively. The dogs had shown signs of depression, anorexia and fever. At necropsy, lymph nodes were swollen, edematous and congested; livers were enlarged, bright red and mottled with numerous small white foci. Petechial hemorrhages were seen in the mucosa. Excessive serosanguinous fluid was present in the abdominal cavities. Histologically, the most significant lesion was necrohemorrhagic hepatitis with single cell necrosis of hepatocytes, lacunose dilation of sinusoids filled with blood and numerous large, solid intranuclear inclusion bodies (IIBs) in the hepatocytes and macrophages. Both eosinophilic and basophilic (amphophilic) inclusions were seen. It has been observed that ICH is re-emerging in some endemic countries. Pet dogs should be regularly protected by effective vaccination.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".