When Reductive Rhinoplasty Goes Wrong and How to Make it Right
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
Over-resection leads to many complications in rhinoplasty. Here, we detail the most common of these pitfalls and strategies to both avoid and repair them.The nose is frequently divided into thirds. The nasal bones represent the upper third. The middle third is composed of the dorsal septum and upper lateral cartilages. The lower third is comprised of the lower lateral cartilages and tip-supporting structures.The commonly seen sequelae of over-resection include a deep radix, saddle nose deformity, inverted-V deformity, pollybeak deformity, alar retraction, a pinched nasal tip, bossae, deep alar grooves, and external nasal valve collapse. The major mechanism to avoid these issues is avoidance; however, several grafting techniques are described here to correct overly aggressive reduction.It is critical to avoid the complications described in this manuscript. Just as important, it is necessary to know how to correct these deformities when patients present for revision rhinoplasty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it