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Record W3110634503 · doi:10.1093/pch/pxaa102

Correction of neonatal auricular deformities with DuoDERM: A simple technique

2020· article· en· W3110634503 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsSplint (medicine)MedicineComputer scienceOrthodontics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.254
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it