Clinical and histopathological features of orbital granular cell tumor: case report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A 53 year-old woman presented with a slowly progressive, painless proptosis OS. Computed tomography disclosed a round, homogeneous, well-delimited lesion in the inferior-temporal orbit. The tumor was composed of round cells with eosinophilic granular cytoplasm. Some of the cells had larger eosinophilic granules surrounded by a clear halo; known as pustulo-ovoid bodies of Milian or Bangle bodies. The diagnosis of a granular cell tumor was then established and confirmed by immunohistochemistry. Granular cell tumors are uncommon benign soft tissue neoplasms that have a predilection for the head and neck region. Awareness of the typical histopathological features is crucial for the correct diagnosis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it