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Record W7126493047

Fibrocartilaginous Embolism and Splenic Hematoma in a Labrador Retriever

2016· other· en· W7126493047 on OpenAlexaboutno aff
Mary Gwynn

Bibliographic record

VenueeCommons (Cornell University) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverParaplegiaHematomaPulmonary embolismHemangiosarcomaMyelopathyDifferential diagnosisAbdomen
DOInot available

Abstract

fetched live from OpenAlex

This case report describes an 8-year-old female spayed Labrador Retriever who presented with an acute, nonprogressive, nonpainful, nonambulatory paraplegia with intact albeit reduced deep pain. She neurolocalized as a T3-L3 myelopathy with presumptive spinal shock. An emergent thoracolumbar MRI did not reveal a definitive cause for the paraplegia. However, a large mass was detected in the right mid-abdomen and was determined to be likely of splenic origin. Upon physical examination the next morning, an abdominal fluid wave was detected. Abdominal ultrasound confirmed a ruptured splenic mass with concurrent hemoabdomen. The top differential diagnosis was a splenic hemangiosarcoma with metastasis to the spinal cord. The patient was euthanized due to poor prognosis and necropsy diagnosed a fibrocartilaginous embolism (FCE) and splenic hematoma. This report will highlight these two diseases, as well as the diagnostics and treatments of these conditions.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.010

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 head0.016
GPT teacher head0.195
Teacher spread0.179 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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