Lumbar subarachnoid diverticulum secondary to a sarcoma in the sacral canal of a dog
Bibliographic record
Abstract
Subarachnoid extramedullary intraspinal ‘cysts’ containing cerebrospinal fluid (CSF), known as ‘diverticula’, can occur due to chronic inflammation or trauma in human beings and veterinary species. In dogs, these diverticula typically occur in the dorsal subarachnoid space at the level of the first and third cervical vertebrae of young, large breed dogs, or at the level of the caudal thoracic vertebrae of older, medium and small breed dogs. We present a case of a seven‐year‐old female neutered flat‐coated retriever which experienced clinical signs localised to the cauda equina. Myelography and computed radiography (CT) imaging demonstrated a subarachnoid diverticulum in the ventral subarachnoid space at the level of the seventh lumbar vertebra (L7) cranial to a spinal sarcoma.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".