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Record W2620809738 · doi:10.1177/2474126417710378

Torpedo Maculopathy Presenting With Fovea Plana in a 21-Year-Old Female

2017· article· en· W2620809738 on OpenAlexaff
Douglas S.M. Iaboni, Mark E. Seamone, Netan Choudhry, R. Rishi Gupta

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsUniversity of TorontoDalhousie University
Fundersnot available
KeywordsMaculopathyOptical coherence tomographyOphthalmologyRetinal pigment epitheliumMedicineFluorescein angiographyFovealFundus (uterus)LesionAutofluorescenceRetinalPathologyOpticsRetinopathyPhysicsFluorescence

Abstract

fetched live from OpenAlex

Purpose: To report a case of torpedo maculopathy presenting with fovea plana in a 21-year-old female patient. Methods: Multimodal imaging including fluorescein angiography, fundus autofluorescence, and spectral domain optical coherence tomography (OCT) was used to characterize pathology. Results: A well-circumscribed ellipsoidal hypopigmented lesion was observed inferotemporal to the fovea OS. Fluorescein angiography and fundus autofluorescence revealed hyperfluorescence and focal hypoautofluorescence, respectively, corresponding to the hypopigmented lesion. Spectral domain optical coherence tomography imaging of the lesion revealed attenuation of the ellipsoid zone and retinal pigment epithelium with a hyporeflective subretinal cleft. En face OCT imaging demonstrated an area of subretinal hyporeflectivity at the subretinal cleft. Spectral domain optical coherence tomography revealed the absence of a foveal pit. Conclusion: We have described a novel case presentation of fovea plana alongside torpedo maculopathy. The significance of this association remains unclear. Further study into these conditions is necessary to help better determine factors responsible for visual symptoms or lack thereof and circumstances that promote their development.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

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

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 head0.251
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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