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Iritis

2008· book-chapter· en· W341185439 on OpenAlexaff
Sarah S. Zaher, E M Graham

Bibliographic record

VenueCambridge University Press eBooks · 2008
Typebook-chapter
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsChoroiditisChorioretinitisUveitisCiliary bodyMedicineChoroidOphthalmologyIRIS (biosensor)UveaRetinitisEye diseaseRetinaBiologyVirologyComputer scienceVirus

Abstract

fetched live from OpenAlex

The uveal tract is a continuous vascular structure consisting of the iris, ciliary body, and choroid. It is convenient to subdivide inflammation of the uveal tract into anterior uveitis (iritis and iridocyclitis) and posterior uveitis (choroiditis and choroidoretinitis). This chapter relates to anterior uveitis or, more simply, iritis; for the related entity chorioretinitis please also see Chapter 14, Retinitis. Exogenous iritis may follow injury or surgery to the eye or may have a local intraocular cause, which usually is obvious from history or examination. Endogenous iritis may be regarded as a symptom of some widespread infection or multisystem disorder. Iritis may be the presenting feature of a systemic infection or merely “another organ” involved by an already diagnosed infection. However, the ocular fluids are relatively easily obtained and their analysis can prove very useful when specific diagnosis of the offending organism has proved elusive. In the clinical setting iritis may be part of an acute or chronic systemic infection or be an immune response to a preceding systemic infection. The presentation of the iritis depends on both the immunity of the patient as well as the nature and the virulence of the organism. On occasions the iritis is the only sign of the infection which is entirely localized to the eye.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.063
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0630.040

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 head0.023
GPT teacher head0.202
Teacher spread0.180 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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