A Modified V-Y Chondromucosal Composite Flap for Correction of Secondary Cleft Nasal Deformity
Bibliographic record
Abstract
Sir: We read with interest Dr. Basta’s article on the use of a V-Y chondromucosal flap for the correction of secondary cleft nasal deformities.1 Probably because of its title and its age, the authors did not identify and acknowledge the article “Some Nasal Tip Deformities Due to Alar Cartilage Abnormalities” published in 1954 in Plastic and Reconstructive Surgery by John Potter, outlining the use of this very useful technique for the correction of the “unilateral flattened, distorted nostril in repaired hare lip cases,” in an article on the treatment of several nasal tip deformities associated with cleft lips.2 We have been using this technique for the past 15 years with very good results in both unilateral and bilateral secondary cleft nose deformities. DISCLOSURE The authors have no financial interest to declare in relation to the content of this communication. No external funding was received. Giorgio C. La Scala, F.M.H.(CH) Pediatric Plastic Surgery Division of Pediatric Surgery University of Geneva Children’s Hospital Geneva University Hospitals Geneva, Switzerland David M. Fisher, F.R.C.S.(C.), F.A.C.S. Department of Surgery University of Toronto Division of Plastic Surgery The Hospital for Sick Children Toronto, Ontario, Canada
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".