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Record W4405261138 · doi:10.1002/vrc2.1065

Surgical treatment of dysphagia due to salivary mucocele (sialocele) in a cat

2024· article· en· W4405261138 on OpenAlex
Abedin Shaban Zadeh, Elisabeth Snead

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 · 2024
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineMucoceleDysphagiaSublingual glandSalivary glandOropharyngeal dysphagiaHistopathologyDroolingDifferential diagnosisSurgeryCATSSalivary Gland DiseasesHypersalivationAnesthesiaPathologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract This case report describes a 10‐year‐old, male, neutered, indoor–outdoor, domestic shorthair cat presented for hyporexia and dysphagia of 1‐month duration tentatively attributed to a recent diet modification. The cat was ultimately referred for a second opinion. Examination under sedation confirmed a small, soft, fluctuating mass in the ventral intermandibular space. A fine‐needle aspirate of the mass revealed its contents to be of the salivary gland origin. The sublingual–mandibular salivary gland on the left side was surgically resected, and the left sublingual mucocele (ranula) was marsupialised. Histopathology confirmed a sublingual sialocele of the resected gland. The cat recovered completely, and there has been no recurrence with an 18‐month follow‐up. A sublingual sialocoele is uncommonly seen in cats, but it should be on the differential diagnosis list for dysphagia in cats, especially when a sublingual mass is present.

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 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 score0.058
Threshold uncertainty score0.904

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 communication0.0000.000
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 head0.040
GPT teacher head0.333
Teacher spread0.293 · 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