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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 OpenAlex
Dong-Hak Jung, Anil Joshi, Guen-Uck Chang, Ravi Ramachandra, Sang Min Hyun

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.

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.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.035
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