Spectral optical coherence tomography in a patient with type I sialidosis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The aim of our study was to analyze spectral optical coherence tomography (SD-OCT) findings in a patient with clinical signs of sialidosis. CASE REPORT: Fluorescein angiography and spectral optical coherence tomography was performed in a 37-year-old woman using a SD-OCT device with axial resolution of 6 µm. Enzyme assay followed. The patient was diagnosed with type I sialidosis by enzymatic assay. Besides a normal angiogram, a thickened nerve fiber layer was observed on spectral optical coherence tomography. CONCLUSIONS: The thickened nerve fiber layer was probably caused by accumulation of metabolic products such as sialylated oligosaccharides and glycopeptides, suggesting that SD- OCT, due to its enhanced resolution, can be a useful tool for diagnosis of rare neurological conditions.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it