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Record W2415864681 · doi:10.1097/dss.0000000000000559

Three-Dimensional Forehead Reflation

2015· article· en· W2415864681 on OpenAlexaff
Jean Carruthers, Alastair Carruthers

Bibliographic record

VenueDermatologic Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsForeheadMedicineLidocaineFiller (materials)PtosisSurgeryHyaluronic acidAnatomyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

BACKGROUND: The rising popularity of the three-dimensional reflation of the mid and lower face has prompted interest in upperfacial reflation. OBJECTIVE: We have been asked to share our technique for subgaleal three-dimensional forehead reflation. MATERIALS AND METHODS: We have described our anatomic approach, our modification of the hyaluronic acid (HA) filler to achieve reduced viscosity and our injection technique. RESULTS: Immediately after the forehead reflation there is mild brow ptosis due to the lidocaine within the HA filler. This reverses in 30 to 60 minutes post injection. There is a need for further enhancement about 2-3 weeks later in approximately 30 percent of subjects. The results last between 10-12 months. CONCLUSION: Three-dimensional subgaleal forehead reflation is an effective and safe procedure when performed with an HA filler and a knowledge of the periorbital vascular anatomy.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.112
GPT teacher head0.319
Teacher spread0.207 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations10
Published2015
Admission routes1
Has abstractyes

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