Fluoroscopy-Guided Surgical Removal of a Microchip from the Spinal Canal of Two Cats
Bibliographic record
Abstract
Two cats were presented with acute left-sided paresis after implantation of a microchip at the referring veterinary clinic. Neurological examinations were consistent with left-sided lesions between spinal cord segments C1 and C5. Orthogonal radiographs of the cervical spine showed a microchip dorsoventrally oriented, partially embedded in the cervical vertebral canal. Fluoroscopy was used to localize and retrieve the foreign body from the cervical spinal cord in each case. Improvement in clinical condition and return to ambulation was observed in both cats within 48 hr of surgical removal of the implant. No significant perioperative adverse events were noted during the surgical retrieval of the microchip. Two previously reported cases of intraspinal canal microchip placement had been treated surgically by hemilaminectomy. This approach carries a risk of complications, including hemorrhage from the venous sinus, iatrogenic damage to the spinal cord, and improper identification of the surgical site, requires advanced surgical training, and typically has an extended surgical time. The use of fluoroscopy to assist intraoperative localization of a spinal canal foreign body may lessen the requirement for more invasive surgical procedures.
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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 | 0.002 | 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 | 0.000 |
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 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".