Teaching NeuroImages: Collet-Sicard syndrome and hearing loss with glomus jugulotympanicum
Bibliographic record
Abstract
A 56-year-old woman presented with headache, vomiting for 3 days, and right hearing loss, tinnitus, and dysphagia over 3 months. Examination showed decreased right palate elevation and atrophy of right sternocleidomastoid, trapezius, and tongue with rightward tongue deviation, indicating Collet-Sicard syndrome (involving cranial nerves IX–XII in jugular foramen and hypoglossal canal).1 Hearing loss suggested auditory canal extension. Imaging showed a right skull base mass in keeping with glomus tumor (figures 1 and 2). Given surgical risks, radical radiotherapy was performed, arresting tumor growth. Glomus jugulare tumors, hypervascular paragangliomas, are the most common tumors in the jugular foramen and can extend into the middle ear (jugulotympanicum).2
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".