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Record W3127596161 · doi:10.12968/coan.2020.0085

Approaches to common conditions of the gastrointestinal tract in pet hamsters

2021· article· en· W3127596161 on OpenAlexaff
Vicki Baldrey

Bibliographic record

VenueCompanion animal · 2021
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsMesocricetusHamsterIntussusception (medical disorder)Golden hamsterMedicineGastrointestinal tractAntibioticsDiagnostic testCystourethrographyDiseasePhysiologyInternal medicinePathologyIntensive care medicineSurgeryVeterinary medicineBiologyMicrobiology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.265
GPT teacher head0.338
Teacher spread0.073 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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