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Record W4281890858 · doi:10.1002/vrc2.399

Use of intraoperative ultrasound aiding in extraction of migrated and embedded porcupine quills in a dog

2022· article· en· W4281890858 on OpenAlex
Lindsay A. Parker, Adam T. Ogilvie

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.

Bibliographic record

VenueVeterinary Record Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsMedicineSurgeryUltrasonographyDissection (medical)Radiology

Abstract

fetched live from OpenAlex

Abstract A dog presented for porcupine quills; the client had removed the majority of quills themselves, but due to recurring quills and progressive swelling of the left thoracic limb, referral was recommended. Following preoperative ultrasonography to identify the location of remaining quill fragments, surgical exploration was performed. Approximate quill location was determined with preoperative ultrasound, but quill extraction with solely blunt dissection proved to be challenging. Intraoperative ultrasonography was then utilised to rapidly and successfully identify the remaining fragments and guided the surgeons in complete quill removal. Intraoperative ultrasound hastened the removal of fractured and embedded quills. This case highlights how intraoperative ultrasonography aided in efficiently identifying the location and orientation of embedded quills and thereby guided their surgical removal. It also highlights how imperative early medical intervention for porcupine quills is, in order to avoid disastrous complications.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.374
Teacher spread0.290 · 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