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Record W2171927811 · doi:10.1001/jamafacial.2014.1428

Lapping of Costal Cartilage Technique: A Key Step in Stabilizing and Reducing the Bulk of Costal Cartilage Used in Rhinoplasty

2015· letter· en· W2171927811 on OpenAlexaff
Dong-Hak Jung, Anil Joshi, Guen-Uck Chang, Ravi Ramachandra, Sang Min Hyun

Bibliographic record

VenueJAMA Facial Plastic Surgery · 2015
Typeletter
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsCostal cartilageRhinoplastyMedicineCartilageSurgeryAnatomyNose

Abstract

fetched live from OpenAlex

Rhinoplasty is an art of not only achieving structural integrity of nasal form but also maintaining functional aspects of breathing.To achieve this, autograft, allograft, and synthetic materials are used as various components of nasal structure for augmentation or correction. 1,2Despite various synthetic materials giving promising results and compatibility, cartilage grafting remains the most reliable method.East Asian populations have short, flat noses with weak, insufficient cartilage. 3Therefore, costal cartilage is the best option for repair.Although costal cartilage is good for such cases, an adequate fixing technique will make it more reliable.In the present study, one of us (D.-H.J.) adapted a technique that is commonly used by carpenters to stabilize a joint without affecting the thickness of wooden blocks, termed half-lap joints.

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)0.003
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 score0.006
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0030.003

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 head0.035
GPT teacher head0.258
Teacher spread0.223 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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