Refining Vertical Lobule Division in Open Septorhinoplasty
Bibliographic record
Abstract
OBJECTIVE: To review the indications, surgical techniques, and results of vertical lobule division (VLD) of the alar cartilages as they relate to the M-Arch Model. DESIGN: Retrospective study of patients who underwent VLD of the lower lateral cartilages at a private facial plastic surgery practice in a major university teaching hospital. RESULTS: Vertical lobule division decreased projection in 34 of 41 patients, narrowed a wide or boxy tip in 25, corrected knuckling or bossae in 20, corrected tip asymmetry in 14, corrected a hanging columella in 14, increased rotation in 12, and decreased rotation in 6. No statistically significant correlation was noted between the location of VLD and the indication for which it was performed. One patient required revision surgery to increase rotation. CONCLUSIONS: Vertical lobule division remains a reliable and safe technique with predictable outcomes in tip repositioning. It allows for preservation of a strong tip complex, while adding versatility to tip refinement.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".