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Record W3082568052

Toxic and Nutritional Optic Neuropathy

2021· article· en· W3082568052 on OpenAlexaff
Edward Margolin, Ari Shemesh

Bibliographic record

VenueStatPearls · 2021
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPallorMedicineOptic nerveVisual fieldOptic neuropathyOptic discOptic tractOphthalmologyGlaucomaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Toxic and nutritional optic neuropathies both present clinically with symmetric progressive bilateral vision loss, decreased color vision, central or cecocentral scotomas on formal visual field testing, and no relative afferent pupillary defect because of the symmetric nature of optic nerve involvement. In most cases, vision loss progresses over months rather than days to weeks, and vision decreases slowly. A thorough history is crucial to make a diagnosis. Specifically, exposure to drugs, alcohol and tobacco use, dietary intake, and occupational background should be investigated in any patient presenting with the bilateral symmetric slow visual loss.Early in the disease, optic nerves usually appear normal or, on occasion, slightly hyperemic. Continued exposure to a toxic substance or nutrient deficiency would cause the slow appearance of bilateral temporal optic disc pallor due to the injury of ganglion cell axons specifically in the papillomacular nerve fiber bundle. This would eventually lead to the diffuse pallor of the optic disc. If an obvious visual field defect is not shown on routine 30-2 perimetry, central 10-2 perimetry will demonstrate central or cecocentral scotomas.

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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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
GenreReview

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

Citations5
Published2021
Admission routes1
Has abstractyes

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