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Record W1744886033 · doi:10.1177/229255030501300303

Narrowing of the Wide Nasal Dorsum in the ‘Minimal-Hump’ Nose: A Simplified Universal Approach

2005· article· en· W1744886033 on OpenAlexaffvenue
Nabil Fanous, Yannick G Amar

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineNasal dorsumRhinoplastyDorsumPyramid (geometry)NoseContext (archaeology)AnatomyNasal boneSurgeryGeologyGeometryPaleontologyMathematics

Abstract

fetched live from OpenAlex

The operative procedure frequently used to narrow the nasal pyramid in the context of a regular rhinoplasty is well known to all rhinoplastic surgeons. It consists of hump removal, followed by lateral osteotomies and medialization of the nasal bones. However, narrowing of a wide nasal pyramid, in the absence of an appreciable dorsal hump, as in the case of an ideal dorsal height or a mild hump, presents a different challenge. The present article describes a simplified approach to the 'nasal plateau resection', a technique that allows the creation of an open nasal roof, without hump removal and without compromising dorsal projection. This permits the medialization of the lateral nasal bones and the subsequent narrowing of the wide pyramid, while preserving the height of the nasal dorsum as viewed in profile.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.224
Teacher spread0.198 · 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

Citations1
Published2005
Admission routes2
Has abstractyes

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