Hepatic lesions in a redstriped rockfish (Sebastes proriger) suggestive of a herpesvirus infection
Bibliographic record
Abstract
Unusual lesions were observed in a redstriped rockfish (Sebastes proriger) collected during a survey of marine fishes off the coast of British Columbia, Canada. This particular fish exhibited prominent hepatomegaly, with large, coalescing, multiple hemorrhages. The affected liver exhibited remarkable histological changes that, taken together, strongly suggested infection by a virus of the herpesvirus group. Multiple, multinucleated giant cells or syncytia of hepatocytes occurred throughout the liver and were associated with massive, coalescing areas of coagulation necrosis, edema, congestion and cavernous hemorrhages (peliosis hepatis) with thrombosis. In addition, the liver showed multifocal inflammation, characterized by perivascular and peribiliary cuffing of mononuclear inflammatory cells. High magnification of the syncytia revealed that the nuclei were pleomorphic, hyperchromatic, and typically contained eosinophilic to densely amphophilic inclusion bodies of varying size, closely resembling Cowdry Type A inclusions. These inclusions stained red to purple in Feulgen's stain, indicating presence of DNA. Electron-lucent spheres (approximately 100 nm diameter) were observed within hepatocyte nuclei by transmission electron microscopy, suggestive of herpesvirus capsids. To our knowledge, this is the first report of a putative or confirmed herpesvirus infection in any rockfish of the genus Sebastes.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".