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Record W2310203728 · doi:10.1136/vetreccr-2015-000193

Dynamic cervical lung herniation causing dysphagia in a puppy

2015· article· en· W2310203728 on OpenAlexafffund
Maureen Paige Coutu, Nicolas Rousset, Kevin Cosford

Bibliographic record

VenueVeterinary Record Case Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsPolicyWise for Children & FamiliesUniversity of Calgary
FundersUniversity of Calgary
KeywordsMedicinePuppyDysphagiaCongenital lobar emphysemaLungFluoroscopyRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

A five‐week old pug presented for dysphagia and a fluctuant cervical swelling. Bilateral cervical cranial lung herniation was diagnosed with radiology, fluoroscopy and CT. Fluoroscopy demonstrated compression of the cervical oesophagus by the lung apices. Hyperinflation of the cranial lung lobes and collapse of the associated lobar bronchi was observed on CT. Congenital lobar emphysema (CLE) was the presumed cause of lung herniation. The condition progressed and the patient died at home. No postmortem examination was performed. This is the first report of suspected CLE causing lung herniation and the first report of dysphagia associated with this condition.

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)0.003
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.331
Teacher spread0.286 · 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

Citations4
Published2015
Admission routes2
Has abstractyes

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