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Record W2090941233 · doi:10.1111/vop.12022

Metastatic uveal schwannoma of blue‐eyed dogs

2013· article· en· W2090941233 on OpenAlexaboutno aff
Felicia D. Duke, Denise K. Brudenall, Erin M. Scott, Leandro B. C. Teixeira, Richard R. Dubielzig

Bibliographic record

VenueVeterinary Ophthalmology · 2013
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBeagleSchwannomaMedicinePathologyMetastasisNeoplasmLabrador RetrieverOphthalmologyCancerInternal medicine

Abstract

fetched live from OpenAlex

A formalin-fixed left, blue eye, from a 9-year-old, spayed female beagle dog was submitted to the Comparative Ocular Pathology Laboratory of Wisconsin (COPLOW) for light microscopic evaluation. The history included glaucoma and an abnormal appearance for 6 months and then the development of a uveal mass. The histologic diagnosis was a spindle cell tumor of blue-eyed dogs (SCTBED). In June of 2012, the dog was euthanized due to ailing health, and there was radiographic and postmortem examination evidence of neoplastic metastasis. This is the first reported case of this primary ocular neoplasm metastasizing, and we propose to rename SCTBED as a uveal schwannoma of blue-eyed dogs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.340
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2013
Admission routes1
Has abstractyes

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