A Simple Approach for the Repair of Intermediate-to-Large Cheek Defects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Surgical management of cheek congenital melanocytic nevus (CMN) remains a huge challenge because of undesirable defects in repair. The use of direct closure is often limited to defect reconstruction with a diameter less than 4 cm. OBJECTIVE: This study aimed to evaluate the safety and efficacy of direct vertical closure combined with extensive subcutaneous tissue undermining boundaries for intermediate-to-large cheek defects. METHODS AND MATERIALS: A retrospective review was conducted to evaluate patients with cheek CMN who underwent the aforementioned procedure. Projected adult size, defect size, and incision length were measured. The Vancouver scar scale and visual analog scale were applied to assess scar formation and postoperative appearance. Complications within 1 year postoperatively were recorded. RESULTS: A total of 35 patients with CMN >3.5 cm underwent the procedure. Patients' age ranged from 3 to 36 years. The average projected adult size of the facial CMN was 5.5 ± 1.6 cm. The mean Vancouver scar scale and visual analog scale scores were 2.6 ± 1.0 and 8.0 ± 0.7, respectively. There were 2 cases of dog ear deformity (5.7%) and 1 case of hematoma (2.9%). CONCLUSION: This simple algorithm yields satisfying results with low complication rate in the repair of intermediate-to-large cheek defects and may become a useful alternative to cheek reconstruction.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it