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Record W4310235717 · doi:10.1002/vrc2.542

The successful surgical removal of a massive maxillary palatine osteoma in a dog

2022· article· en· W4310235717 on OpenAlex
Jack Stewart Davey, Wye Li Chong, James Iversen, Kieri Jermyn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVeterinary Record Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVomerOsteomaHard palateSurgical excisionSurgerySoft tissueBuccal administrationSoft palateHistopathological examinationBuccal mucosaDentistryAnatomyOral cavityPathology

Abstract

fetched live from OpenAlex

Abstract A 1.5‐year‐old, spayed, female labrador x kelpie presented with a massive solitary palatine osteoma. En bloc excision required excision of palatine, maxillary and ventral vomer bone. The subsequent defect was closed with a combination of a left angularis oris buccal mucosal interpolation flap, right buccal mucosal rotational flap and rostral advancement of the remaining soft palate. The procedure was tolerated by the patient, with no major complications from the surgery. Histopathological examination of the excised tissue indicated complete excision of the osteoma. At the time of the publication, no recurrence had occurred, and the owners considered the procedure to provide excellent post‐operative results. The use of these soft tissue techniques allowed complete excision of the neoplasia from this difficult anatomic location in a single procedure without the need for revision surgery.

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.

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 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 score0.100
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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