Video-Assisted Ventral Bulla Osteotomy to Remove a Bullet Foreign Body in a Cat
Bibliographic record
Abstract
A 7 yr old castrated male domestic shorthair presented for assessment of a chronic left head tilt, losses of balance, and positional nystagmus. A computed tomographic scan of the head revealed several fragments of a metallic foreign body in the left tympanic cavity. The foreign material was removed under endoscopic assistance through a minimally invasive ventral bulla osteotomy. No complications were noted during the immediate postoperative period. Follow-up 5 mo after surgery revealed complete resolution of the neurological signs with no evidence of recurrence. Foreign bodies associated with middle ear infection have not been previously reported in the cat. They should now be included in the differential diagnosis of vestibular disease. Endoscopic-assisted foreign body removal in the middle ear seems to be a safe and efficient way to retrieve small foreign bodies in bullae in cats.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".