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Record W3004738530 · doi:10.1136/vetreccr-2019-000829

Collapse in a mare during standing sedation with a fatal outcome

2020· article· en· W3004738530 on OpenAlexaffabout
Maria Valentina Carrozzo, Barbara Ambros

Bibliographic record

VenueVeterinary Record Case Reports · 2020
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsSaskatoon Medical Imaging
Fundersnot available
KeywordsMedicineDetomidineLidocaineAnesthesiaSedationButorphanolKetamineWarmbloodSurgeryHorseXylazine

Abstract

fetched live from OpenAlex

A 6‐year‐old 559‐kg Canadian Warmblood mare with lacerations over the neck and all four limbs was presented to the Western College Veterinary Medicine. Medical treatment and wound lavage was carried out for 5 days with no clinical improvement. Ultrasonography of the gluteal region showed disruption of normal muscle architecture, predominantly on the right side. A diagnosis of compartmental syndrome was confirmed with intracompartment pressure measurements. Fasciotomy of the semimembranosus and tendinosus muscles was elected. Standing sedation was achieved with intermittent boluses of butorphanol and detomidine, and caudal epidural analgesia was performed with 13 mL of lidocaine 2 per cent. Forty minutes after the epidural injection, the mare became ataxic and fell. The horse was anaesthetised with ketamine and diazepam followed by total intravenous anaesthesia until the effects of the epidural lidocaine were presumed to have resolved. In recovery, the mare was unable to stand. The owner elected humane euthanasia.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.109
GPT teacher head0.346
Teacher spread0.237 · 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 designCase report
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

Citations1
Published2020
Admission routes2
Has abstractyes

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