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Record W2993941617

Atypical Traumatic Trigeminal Neuritis in a Labrador Retriever Dog: A Case Report

2018· article· en· W2993941617 on OpenAlexaboutno aff
Vishnu Prasad, Praveen Kumar, M. Raghunath, N.V.V. Harikrishna, D. Bhagyaraju

Bibliographic record

VenueJournal of Veterinary Science & Technology · 2018
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLabrador RetrieverSwallowingAtrophyTrigeminal nerveDroolingSurgeryAnesthesiaPathology
DOInot available

Abstract

fetched live from OpenAlex

Abstract Acute trigeminal neuritis of traumatic origin was diagnosed in a middle-aged Labrador retriever dog based on clinical signs, such as dropped jaw, loss of corneal reflex, drooling of saliva, etc. Certain symptoms, such as Horner’s syndrome, masticatory muscle atrophy, etc., were absent, while intact swallowing reflex, partial paralysis of tongue with lateral deviation were the atypical clinical signs. Complete recovery was observed within 45 days with supportive therapy and management by the client. Keywords: Atypical trigeminal neuritis, dropped jaw, labrador Cite this Article Devi Prasad V, Kumar PR, Raghunath M, et al. Atypical Traumatic Trigeminal Neuritis in a Labrador Retriever Dog: A Case Report. Research & Reviews: Journal of Veterinary Science and Technology. 2016; 5(2): 12–15p.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.342
Teacher spread0.306 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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