Comparison of Laparoscopic-Assisted and Open Colopexy in Dogs
Bibliographic record
Abstract
Abstract The objective of this study was to describe laparoscopic-assisted colopexy (LAC) technique, and compare the extent of the surgical trauma after LAC and open colopexy (OC) by examing postoperative serum values of C-reactive protein (CRP) in dogs. Twelve healthy mixed-breed dogs with body weight ranging from 15 to 25 kg were used. Two portal sites were used for LAC procedures. OC was performed by laparotomy on linea alba. Colopexy was accomplished in all dogs without major intraoperative and postoperative complications. A permanent adhesion between the colon and abdominal wall was observed. There were statistically significant differences in serum CRP levels between LAC and OC immediately after the procedure and 1 d post operation. LAC had a similar pexy effect to OC, but had fewer surgical trauma than OC in dogs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".