Multiple segment total en bloc vertebrectomy and chest wall resection in a dog with an invasive myxosarcoma
Bibliographic record
Abstract
A 9.5‐year‐old, 22.6 kg, castrated male mixed breed dog was diagnosed with a paravertebral myxosarcoma invading into the T9–T11 vertebrae and dorsal left‐sided thoracic wall. A total multisegment vertebrectomy of T9–T12 and chest wall resection of the left 8th–12th ribs were performed to resect the tumour en bloc. A patient‐specific, three‐dimensional implant was designed and printed to reconstruct the defect in the vertebral column following resection of the tumour. This implant was supplemented with four 2.7 mm string‐of‐pearl plates. The chest wall defect was reconstructed with a latissimus dorsi muscle flap. Postoperative complications included neurological deterioration, and necrosis of the latissimus dorsi muscle flap resulting in marked pneumothorax and cardiorespiratory arrest 17 days postoperatively.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".