MétaCan
Menu
Back to cohort
Record W2092289649 · doi:10.1136/inpract.31.6.282

Veterinary care of chinchillas

2009· article· en· W2092289649 on OpenAlexaboutno aff
Richard Saunders

Bibliographic record

VenueIn Practice · 2009
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
FundersRoyal Society for the Prevention of Cruelty to Animals
KeywordsCITESEndangered speciesAnimal husbandryVeterinary medicineBiologyChinchillaZoologyMedicineFisheryEcologyHabitat

Abstract

fetched live from OpenAlex

CHINCHILLAS (Chinchilla lanigera) are small hystricomorph rodents, originally native to South America, and are kept widely for laboratory research, fur production or as charming pets. Once reasonably numerous and widespread, their numbers in the wild have dropped to the point that C lanigera is now on the CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) Appendix I list of seriously endangered species. Captive populations were established in the mid‐1950s for fur production, and this became a major industry, particularly in Canada and the USA. Pet chinchillas are frequently encountered in practice in the UK and have a number of unique attributes that make them both endearing pets and a veterinary challenge. This article describes the captive husbandry and veterinary care of chinchillas. Future articles will review the approach to treatment and management of dental disease and also anaesthesia and surgical techniques in this species.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.066
GPT teacher head0.393
Teacher spread0.327 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueIn PracticeSame topicVeterinary Medicine and SurgeryFrench-language works237,207