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Record W4399754972 · doi:10.1177/24741264241260489

Multimodal Imaging of Unilateral Benign Yellow Dot Maculopathy

2024· article· en· W4399754972 on OpenAlexaff
Michael Balas, Jovi C. Y. Wong, Parnian Arjmand

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaculopathyOphthalmologyFundus (uterus)MedicineEtiologyRetinalVisual acuityRetinopathyPathology

Abstract

fetched live from OpenAlex

Purpose: To describe the multimodal imaging findings associated with benign yellow dot maculopathy. Methods: A case report was analyzed. Results: A healthy 42-year-old White man was evaluated after several weeks of photopsias and an inferior retinal tear in the right eye. The tear was treated with laser retinopexy. A fundus examination showed numerous small, yellow, subretinal lesions in and around the macula of the right eye only. The patient had no known systemic conditions and an unremarkable family and ocular history, with 20/20 visual acuity in both eyes. Multimodal imaging findings were consistent with the newly described phenotype of benign yellow dot maculopathy. Conclusions: This is the second known case of unilateral benign yellow dot maculopathy. Distinct multimodal imaging findings between unilateral cases and bilateral cases may suggest differences in their etiology and manifestation.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.277
Teacher spread0.270 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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