Fracture of L7 vertebral articular facets and pedicles following dorsal laminectomy in a dog
Bibliographic record
Abstract
A 6.5-year-old German Shepherd Dog underwent decompressive surgery for cauda equina syndrome. On the basis of intraoperative findings, the dorsal laminectomy was extended from L6 to S2. Partial dorsal annulectomies were also performed on the L6-7 and L7-S1 intervertebral disks. Two weeks following discharge, the dog had an acute onset of signs of pain and worsening of the neurologic status. Radiography and surgical exploration revealed bilateral fractures of the vertebral pedicles and caudal articular facets of L7. Vertebral stabilization was achieved with intramedullary pins and methylmethacrylate. The dog fully recovered. Although the destabilizing effect of various procedures on the vertebral column has been documented in vitro, vertebral fractures associated with instability have not been reported. Our description of a vertebral fracture following a cauda equina decompressive procedure in a dog emphasizes the need for caution when performing multi-level dorsal laminectomy and diskectomy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".