MétaCan
Menu
Back to cohort
Record W2018839193 · doi:10.1097/prs.0000000000000928

A Modified V-Y Chondromucosal Composite Flap for Correction of Secondary Cleft Nasal Deformity

2015· letter· en· W2018839193 on OpenAlexaffabout
Giorgio C. La Scala, David M. Fisher

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2015
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsSick childMedicineNostrilPlastic surgeryNoseRhinoplastyDeformitySurgeryGeneral surgeryPediatrics

Abstract

fetched live from OpenAlex

Sir: We read with interest Dr. Basta’s article on the use of a V-Y chondromucosal flap for the correction of secondary cleft nasal deformities.1 Probably because of its title and its age, the authors did not identify and acknowledge the article “Some Nasal Tip Deformities Due to Alar Cartilage Abnormalities” published in 1954 in Plastic and Reconstructive Surgery by John Potter, outlining the use of this very useful technique for the correction of the “unilateral flattened, distorted nostril in repaired hare lip cases,” in an article on the treatment of several nasal tip deformities associated with cleft lips.2 We have been using this technique for the past 15 years with very good results in both unilateral and bilateral secondary cleft nose deformities. DISCLOSURE The authors have no financial interest to declare in relation to the content of this communication. No external funding was received. Giorgio C. La Scala, F.M.H.(CH) Pediatric Plastic Surgery Division of Pediatric Surgery University of Geneva Children’s Hospital Geneva University Hospitals Geneva, Switzerland David M. Fisher, F.R.C.S.(C.), F.A.C.S. Department of Surgery University of Toronto Division of Plastic Surgery The Hospital for Sick Children Toronto, Ontario, Canada

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.026
GPT teacher head0.264
Teacher spread0.238 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations2
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuePlastic & Reconstructive SurgerySame topicCleft Lip and Palate ResearchFrench-language works237,207