Fundus fluorescein angiography in Susac’s syndrome
Bibliographic record
Abstract
A 41-year-old woman was diagnosed with Susac’s syndrome in 2012, having presented with confusion, headache, hearing loss and retinal arteriolar occlusions. Her MR scan of the brain showed several T2 hyperintensities in the corpus callosum and she was treated with cyclophosphamide. She was admitted 3 years later with a 4-week history of cognitive deterioration and visual loss, but with no new MR brain scan changes. Her Montreal Cognitive Assessment (MoCA) had fallen from a baseline of 22/30 to 16/30, while her Snellen central visual acuity had fallen from 6/6 bilaterally to 6/24 in the right eye and 6/36 in the left eye. Retinal photography and fundus fluorescein angiography showed bilateral, superotemporal branch retinal artery occlusions with macular ischaemia (figures 1 and 2). Figure 1 Colour retinal image of the right eye (Optomap) showing pallor and nerve fibre layer swelling due to retinal ischaemia within the distribution of the superotemporal …
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.004 |
| 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".