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Record W1531311500 · doi:10.1071/an10190

Physiological and behavioural effects of hypoxemia in reindeer (Rangifer tarandus) immobilised with xylazine-etorphine

2011· article· en· W1531311500 on OpenAlexaff
Tara E. Risling, Åsa Fahlman, Nigel Caulkett, Susan Kutz

Bibliographic record

VenueAnimal Production Science · 2011
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEtorphineXylazineRespiratory rateAnesthesiaHeart rateBlood pressureArterial bloodHypoxemiaChemistryAnimal scienceMedicineOpioidKetamineBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

This study examined the physiological effects of xylazine-etorphine (XE) immobilisation in reindeer (Rangifer tarandus), as well as post-immobilisation recovery and behaviour. Six reindeer weighing 105 ± 18 kg (mean ± s.d.) were immobilised via remote delivery of XE into the hind limb musculature. The animals were immobilised for 30 min on two separate occasions, and a randomised crossover design was used to assign nasal oxygen (O2) or unsupplemented air to each animal. Arterial blood gases were collected and analysed at zero (time of arterial catheter placement), 5, 10, 20 and 30 min. Heart rate and respiratory rate, temperature, and arterial blood pressure were monitored every 5 min. After 30 min, immobilisation was reversed with naltrexone hydrochloride and tolazoline hydrochloride. The animals underwent behavioural testing (time required to navigate a novel maze) to assess cognitive function pre- and post-immobilisation. Significantly higher arterial O2 tension levels were seen in O2-supplemented animals (range 95–313 mmHg) compared with unsupplemented animals (range 26–70 mmHg). Hypoxemic animals had elevated heart rates and lactate levels compared with normoxemic. Immobilisation had a significant effect on the animals’ ability to navigate a novel maze.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.317
Teacher spread0.215 · 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 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

Citations19
Published2011
Admission routes1
Has abstractyes

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