Granulomatous ventriculitis caused by Pythium insidiosum in a rosella (Platycercus eximius)
Bibliographic record
Abstract
ABSTRACT: Pythiosis is an infectious disease caused by the oomycete Pythium insidiosum and can affect various systems/tissues, including cutaneous, digestive and respiratory tracts. The disease has been reported in horses, cattle, sheep, goats, dogs, and cats; in birds, there are only two cases. This report describes the anatomopathological and immunohistochemical findings of pythiosis in a captive rosella (Platycercus eximius) that presented with weight loss and death. Macroscopically, multiple white nodules up to 0.5 cm in diameter were observed in the ventricular wall. Multifocal severe heterophilic and granulomatous ventriculitis was observed, associated with hyphae measuring 2 to 6 µm in diameter, with nearly parallel walls, occasionally septate and branched. The hyphae were strongly outlined in black in Grocott-Gomori silver methenamine (GMS), lightly stained by periodic acid-Schiff (PAS), and were positive by immunohistochemistry (IHC) using a polyclonal anti-Pythium insidiosum antibody. The diagnosis of ventriculitis caused by P. insidiosum in a rosella was established by anatomopathological findings and confirmed by IHC. This seems to be the first report of pythiosis in psittacines and the third in birds.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".