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Novel Approach to Temporal Lobectomy for Removal of a Cavernous Hemangioma in a Dog

2014· article· en· W1817951744 on OpenAlexaboutno aff
Nadia Shihab, Brian A. Summers, Livia Benigni, Andrew W. McEvoy, Holger A. Volk

Bibliographic record

VenueVeterinary Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTemporal lobeHemangiomaMagnetic resonance imagingHistopathologyTemporal muscleLobeRadiologySurgeryAnatomyPathologyEpilepsy

Abstract

fetched live from OpenAlex

OBJECTIVE: To report temporal lobe surgery for a cavernous hemangioma in a dog and outcome. STUDY DESIGN: Clinical report. ANIMALS: Dog (n = 1). METHODS: Magnetic resonance (MR) imaging was used to identify a temporal lobe mass in 9-year-old, male neutered Labrador Retriever that had a 12 hour history of seizures. An approach to the temporal lobe allowed preservation of the zygomatic arch and mass removal. RESULTS: The mass was confirmed as a cavernous hemangioma on histopathology. Repeat MR imaging at 13 months showed no recurrence of gross structural disease; however, the dog's anti-epileptic medication was administered for adequate seizure control. CONCLUSION: Temporal lobe surgery can be performed in the dog's for the management of temporal lobe mass lesions.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.106
GPT teacher head0.355
Teacher spread0.249 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations19
Published2014
Admission routes1
Has abstractyes

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