The use of veterinary cuttable plates for carpal and tarsal arthrodesis in small dogs and cats.
Bibliographic record
Abstract
The objective of the study was to evaluate, retrospectively, carpal and tarsal arthrodesis in small dogs and cats by using veterinary cuttable plates in 6 animals and comparing those with arthrodesis stabilized with other implants in 9 animals. Veterinary cuttable plates were used for 1 pancarpal, 2 partial tarsal, and 3 pantarsal arthrodeses. Other implants were used to stabilize 1 pancarpal, 6 partial tarsal, and 2 pantarsal arthrodeses. In the veterinary cuttable plates group, complications included 2 cases with pressure sores and 1 case with screw loosening. One animal was lost to follow-up and 4 of the remaining 5 were always weight-bearing. In the other group, there were 2 cases with pressure sores, 1 case with dermatitis, and 2 cases with pin migration. Six out of 9 animals were always weight-bearing. The use of veterinary cuttable plates appears to be a suitable option with a good clinical outcome.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".