Bibliographic record
Abstract
A middle-aged man developed subacute painless visual loss in the left eye leading to no light perception, and 2 weeks later developed subacute visual loss in the right eye to no light perception. He had a history of resected pituitary macroadenoma. MR scan of brain and orbits with contrast showed short prechiasmatic segments of enhancement in each optic nerve. Cerebrospinal fluid analysis was normal. Extensive diagnostic work-up was unrevealing but review of medical records identified a history of prophylactic radiotherapy to the pituitary gland following pituitary macroadenoma resection 1.5 years before. We diagnosed post-radiation optic neuropathy. This condition typically occurs 1-1.5 years after the radiotherapy given near the visual pathway. Its pathophysiology presumably relates to an endotheliopathy of the vasa nervosum supplying the optic nerve due to free radical accumulation following radiotherapy. It manifests with unilateral or bilateral sequential severe visual loss with imaging showing characteristic enhancement of the short segment of the affected intracranial optic nerve. There is no available definitive treatment, but hyperbaric oxygen therapy, given shortly after onset of visual loss, is a promising treatment.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".