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Record W2585589114 · doi:10.1002/9781119239680.ch18

Systemic Diseases with Ophthalmic Manifestations

2017· other· en· W2585589114 on OpenAlexaboutno aff
Kirk N. Gelatt, Caryn E. Plummer

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCanine distemperConjunctivaMedicineCorneaChorioretinitisPathologyNictitating membraneVirologyVirusOphthalmology

Abstract

fetched live from OpenAlex

This chapter considers major species, i.e., canine, feline, equine, and food and fiber animals. It also considers the more common systemic diseases or those in which the ophthalmic manifestations assist in establishing the clinical diagnosis. Excessive white or partial albinism occurs in the canine breeds with the merling gene. Dwarfism-associated ocular defects occur in the Samoyed and Labrador Retriever breeds. Congenital hydrocephalus can cause enlargement of the developing calvarium and displacement of the orbits. Chorioretinitis is characterized by multifocal round to oval lesions scattered throughout the tapetal and nontapetal fundi. Infectious canine hepatitis (ICH) caused by canine adenovirus-1 (CAV-1) has been associated with ophthalmic disease since its initial report in 1947. The canine papilloma virus can result in focal papillomas affecting the mucus membranes of the mouth, eyelids, conjunctiva and nictitating membrane, and cornea. Rickettsial infections such as ehrlichiosis and infectious cyclic thrombocytopenia and Rocky Mountain spotted fever produce ocular signs.

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.005

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 head0.015
GPT teacher head0.307
Teacher spread0.292 · 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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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