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Record W4408882869 · doi:10.21423/aabppro20249157

Evaluation of oxygenation, ventilation, and bloating in alfaxalone anesthetized calves

2025· article· en· W4408882869 on OpenAlexaff
L. Stoffregen, Nigel Caulkett, Jennifer M. Pearson, Claire Windeyer

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOxygenationMedicineAnesthesiaBloatingVentilation (architecture)

Abstract

fetched live from OpenAlex

Calves commonly undergo abdominal surgery for gastroin­testinal and umbilical disease and are typically positioned in dorsal recumbency for the procedure. This poses a high risk for hypoxemia, hypoventilation, bloat and regurgitation. Though these risks are understood, reference values for parameters of oxygenation, ventilation and bloating under anesthesia have not been reported. Alfaxalone is a neuroactive steroid with lim­ited cardiovascular effects that is used in companion animal practice for induction and maintenance of general anesthesia. Though its use in food animals is limited, alfaxalone has been used successfully in sheep and could be used safely in cattle. Demonstrating the safety and efficacy of alfaxalone in calves would promote its viability in food animal medicine. The objec­tives of this study were to demonstrate a novel anesthetic pro­tocol using a constant rate infusion (CRI) of alfaxalone and to report the cardiopulmonary and blood gas parameters of calves anesthetized in dorsal recumbency with unprotected airways.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 studies0.0000.000
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 head0.038
GPT teacher head0.354
Teacher spread0.317 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueAmerican Association of Bovine Practitioners Conference ProceedingsSame topicVeterinary Pharmacology and AnesthesiaFrench-language works237,207