Approaches to common conditions of the gastrointestinal tract in pet hamsters
Bibliographic record
Abstract
Hamsters are popular pets in the UK. The Syrian or Golden hamster (Mesocricetus auratus) is the best known species in the pet trade, with a variety of dwarf species also encountered. Gastrointestinal disease occurs frequently, and diarrhoea is a common presenting complaint. This is most often associated with bacterial or parasitic infection, but can also be related to neoplasia or the use of certain antibiotics. Initial stabilisation of the hamster with diarrhoea should include provision of a warm stress-free environment, fluid therapy, nutritional support with an appropriate critical care diet and analgesia. Following a full history and clinical examination, further diagnostic steps include faecal parasitology and microbiology, routine biochemistry and haematology, radiography with or without positive contrast, and abdominal ultrasound. Indications for surgery include evidence of intestinal obstruction or prolapsed intussusception. This article gives an overview of the most common gastrointestinal diseases encountered in hamster species and provides a guide of how to logically approach the investigation and treatment of these cases, achievable in general practice.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".