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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.109
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