Bibliographic record
Abstract
The lips are complex anatomical structures with significant psychosocial and functional importance. The wet-dry line or ‘red line’ on the lip represents the transition from oral mucosa to lip vermilion, and is one of the essential anatomical landmarks required for accurate reconstruction of the lip. Identification of the wet-dry line is important in cleft lip surgery, particularly if a triangular vermilion flap from the lateral element is used to augment the deficient vermilion on the medial side, as described by Noordhoff (1). During lip surgery, landmarks and presurgical marking are often distorted by intraoperative edema and local anesthetic infiltration; standard methods for maintaining these landmarks in the cutaneous lip, such as tattooing, are not as effective in the vermilion. The authors present a simple yet effective way of identifying the red line during surgery. The immediate response when attempting to identify the wet-dry junction is to clean the lip of any dried blood for better visualization. The authors simply suggest leaving the lip ‘dirty’; the blood adheres to the wet mucosa and not to the dry, thus clearly and consistently identifying the junction between wet and dry mucosa (Figures 1A and and1B1B). Figure 1) A and B Leaving the lip ‘dirty’ during cleft lip surgery clearly identifies the division between wet and dry vermilion The authors have been surprised at how often such a simple technique has been useful in cleft and other forms of reconstructive lip surgery.
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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 | 0.000 | 0.002 |
| 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".