Sinonasal Undifferentiated Carcinoma With a Frozen Globe
Bibliographic record
Abstract
In Brief A 42-year-old previously healthy woman presented with a 5-week history of headache, facial numbness, proptosis, motility restriction, and visual loss. CT showed soft-tissue infiltration involving the posterior ethmoids, pterygopalatine fossa, and posterior inferior orbit. Histopathologic analysis of a biopsy specimen disclosed a highly aggressive and undifferentiated neoplasm with an immunophenotype and ultrastructural features consistent with an epithelial origin, which was most consistent with a diagnosis of sinonasal indifferentiated carcinoma. The tumor was unresectable and the patient was started on a course of radiation and chemotherapy. Sinonasal undifferentiated carcinoma is a rare, rapidly developing, and aggressive malignancy with a poor prognosis that often presents with orbital invasion and ocular symptoms.
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How this classification was reachedexpand
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) | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".