Optic Neuropathy Caused by a Perineural Sarcoid Lesion
Bibliographic record
Abstract
A 74-year-old woman had a six-month history of decreased vision in the left eye. On the first examination, her left best-corrected visual acuity was 0.02, and Goldmann visual field test revealed a central scotoma in the left eye. Magnetic resonance imaging demonstrated lesions around the optic nerve on both sides and enlargement of the lacrimal gland and superior rectus/levator palpebrae superioris muscles on both sides and the medial and inferior recti muscles on the left side. Systemic computed tomography revealed bilaterally enlarged mediastinal and supraclavicular lymph nodes. The blood test results included an elevated soluble interleukin-2 receptor. Pathological examination of the specimens harvested from the lacrimal gland on both sides, left levator palpebrae superioris muscle, and the lesion around the optic nerve on the left side showed lymphocytic infiltration with noncaseating epithelioid granuloma. After the biopsy, the patient underwent two cycles of steroid pulse therapy, followed by oral prednisolone. Although the lesions were reduced after steroid treatment, the left vision did not recover.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".