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Record W4414347760 · doi:10.1177/08987564251379593

Craniomandibular Osteopathy in a Newfoundland Dog

2025· article· en· W4414347760 on OpenAlexaboutno aff
Valentina Ferrarese, Veerle Volckaert, Simone Kirby

Bibliographic record

VenueJournal of Veterinary Dentistry · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsLethargyOsteopathyMaxillaMandible (arthropod mouthpart)BitingPhysical examination

Abstract

fetched live from OpenAlex

A 5-month-old Newfoundland dog was presented with lethargy and bilateral enlargement of the mandibles and maxillae. A diagnosis of craniomandibular osteopathy was made based on clinical signs, physical examination, and computed tomography findings. Improved mentation and comfort levels were achieved with pain management using meloxicam and paracetamol. Follow-up examinations were performed at 1, 2, 6, and 16 weeks after the first consultation. Stabilization of the condition was noted initially, and by 16 weeks, clinical symptoms had markedly improved. Protuberances of the maxillae were markedly reduced compared to the initial presentation, and the maxillae appeared nearly normal. Widening of the mandibles had decreased, and the bony swelling extended less caudally. To the authors' knowledge, this is the first report of craniomandibular osteopathy in a Newfoundland dog.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.046
GPT teacher head0.365
Teacher spread0.319 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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