Diabetes mellitus concurrent with hepatic haemosiderosis in two macaws (<i>Ara severa, Ara militaris</i>)
Bibliographic record
Abstract
Diabetes mellitus was diagnosed in a 5-year-old male chestnut-fronted macaw (Ara severa) and an 8-year-old female Military macaw (Ara militaris) based on persistent hyperglycaemia and glucosuria. Hepatic biopsies showed marked hepatic haemosiderosis, while pancreatic biopsies showed no inflammatory lesions. Repeatable and titratable responses to bovine or porcine protamine zinc insulin were recorded in both patients, who were followed up for more than 2 years. In addition, iron-elimination therapy was initiated by chelation or phlebotomy, and the birds' diet was changed to low-iron content pellets. Both birds responded favourably to this therapy, showing a decreased demand for extrinsic insulin. Follow-up biopsies demonstrated marked reduction in hepatic haemosiderin. Plasma fructosamine and beta-hydroxybutyric acid levels were measured periodically in both birds and compared with euglycaemic psittacines. Both tests appeared useful for monitoring treatment success. The potential association between diabetes mellitus and excessive iron storage in birds should be further investigated.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".