Acute zonal occult outer retinopathy in a patient with retinitis pigmentosa
Bibliographic record
Abstract
A 30-year-old woman with a phenotypic presentation of retinitis pigmentosa (RP) presented with a 5-day history of painless, acute vision loss in her right eye, with visual acuity dropping from 20/30 to hand motions. Optical coherence tomography of the right macula showed near-complete loss of the ellipsoid layer. Treatment with a prolonged course of oral prednisone resulted in a complete structural regeneration of the ellipsoid layer and improvement of visual acuity to 20/50, with eccentric fixation. Tests for infectious diseases, autoimmune disorders, and rare RP mimic syndromes (eg, Refsum disease) were negative. The patient has remained stable since. We favor a diagnosis of two separate pathologies and suggest a designation of acute zonal occult outer retinopathy (AZOOR) in RP for this previously unreported presentation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".