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Record W4229859739 · doi:10.1002/9781118840801.ch85

Uveal Cysts

2015· other· en· W4229859739 on OpenAlexaboutno aff
MRCVS DOUGLAS W. ESSON BVSC

Bibliographic record

VenueClinical Atlas of Canine and Feline Ophthalmic Disease · 2015
Typeother
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCystCiliary bodyOphthalmologyChoroidSurgeryPathologyRetinaBiology

Abstract

fetched live from OpenAlex

This chapter presents an overview of Uveal cysts that may arise from the posterior iridal or ciliary body epithelium as a result of hereditary factors, cystic hyperplasia, and/or chronic inflammation. Uveal cysts may occur unilaterally or bilaterally and may vary significantly in both size and number. Commonly affected breeds include the Labrador Retriever, Golden Retriever, Boston terrier, Great Dane, and American Bulldog. The diagnosis of uveal cyst(s) is made on the basis of clinical findings, supported if necessary by B-mode ultrasonography. Occasionally, intracameral neoplasia may represent challenging differentials. The administration of systemic topical and/or anti-inflammatory agents may be indicated in cases affected by chronic intracameral inflammation. Surgical intervention may be indicated in cases where cystic proliferation results in visual impairment and/or compromised aqueous outflow. Where indicated, cysts may be removed by surgical extraction, surgical aspiration, and/or diode laser photoablation.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.006

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 head0.098
GPT teacher head0.455
Teacher spread0.357 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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