Correction of neonatal auricular deformities with DuoDERM: A simple technique
Bibliographic record
Abstract
Ear moulding in neonates has been shown to successfully correct congenital auricular anomalies. There are several available moulding techniques. However, commercially available moulding devices (e.g., EarWell and Ear Buddy) can be costly, and their alternatives have limited customizability. We present a technique using cost-effective and customizable materials for moulding common anomalies (Stahl's ear, constricted ear, and prominent ear). DuoDERM Extra-thin, Steri-strips, and 3M Kind Removal Silicone tape are used to splint the ear in a preferred position. The DuoDERM is rolled into a putty, placed in the ear, and secured with tapes. This treatment is initiated in the clinic, with weekly splint changes carried out at home by caregivers, and intermittent follow-up appointments. DuoDERM moulding is a safe, inexpensive, highly customizable, and simple way to correct auricular deformities. Primary physicians/paediatricians should embed moulding into their practice, starting treatment as early as possible in the neonatal period.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".