A Case of Transient Monocular Vision Loss and Paracentral Acute Middle Maculopathy
Bibliographic record
Abstract
ABSTRACT: A 77-year-old man with multiple cerebrovascular risk factors presented with a history of transient monocular vision loss and residual paracentral visual disturbance in the right eye. Carotid ultrasounds, erythrocyte sedimentation rate, and C-reactive protein were all within normal limits. He was found to have retinal whitening within the macula in the right eye, corresponding to an area of decreased retinal perfusion on optical coherence topography (OCT)-angiography and a hyperreflective middle retina band on spectral domain-OCT. This was consistent with a diagnosis of paracentral acute middle maculopathy (PAMM). PAMM should be considered a part of the differential diagnosis in patients with focal visual disturbances, and OCT studies are recommended as part of the work up as subtle fundus findings may be missed.
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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".