Comparison of Stapler, Single Layer and Double Layer Techniques for Colon Closure in Dogs
Bibliographic record
Abstract
The present study was performed on 18 healthy dogs (aged 16.80±1.22 months) and body weight (17.07± 2.21 kg) to determine the best suturing technique among single layer, double layer and stapler technique for the closure of colon in dogs. All dog were divided into three groups, placing 6 animals in each group, i.e. group A was closed with single layer suture technique, group B was closed with double layer suture technique and group C was closed with stapler technique. The number of stitches required for colon closure were 8.83, 16.33 and 9.16 in groups –A, B and C respectively. The mean number of stitches and time taken for the completion of double layer technique was significantly higher (P
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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".