Secondary Correction of Deformities of the Vermilion With Exposed Oral Mucosa After Cleft Lip Repair
Bibliographic record
Abstract
There is much discussion on the deformities of the vermilion after cleft lip repair such as a notch and uneven thickness of the vermilion because of insufficient union of the orbicularis oris muscle, vertical scar contracture of the vermilion, and suture sufficiency. However, it is relatively rare for a corrective method of the coloration and texture of the vermilion to become an issue. Prominent deformities can remain because of the exposed oral mucosa in the vermilion region. This exposure is due to the difference in the widths of the dry lip and wet lip. Furthermore, because wet lip is placed in a dry environment, there are a number of complaints such as constant scab formation. For such postoperative deformities of the vermilion, conventional secondary corrections have been performed such as Z-plasty and V-Y plasty. In our study, we used the scar of the vermilion as a pedicle flap and obtained relatively good results. The advantages of this method include not wasting tissue, relatively easy correction of coloration and texture of the vermilion, and formation of the labial tubercle. This method is thought to be a useful technique for vermilion deformities after cleft lip repair with exposed oral mucosa.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".