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Record W2017083452 · doi:10.1055/s-0030-1263072

Functional and Aesthetic Outcome Enhancement of Head and Neck Reconstruction through Secondary Procedures

2010· article· en· W2017083452 on OpenAlex
Stefan O.P. Hofer, Caroline Payne

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

VenueSeminars in Plastic Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineHead and neckOutcome (game theory)Head (geology)Surgery

Abstract

fetched live from OpenAlex

THE FOUNDATION OF HEAD AND NECK RECONSTRUCTION IS BASED ON TWO PILLARS: the restoration of function and the restoration of aesthetics. The objective of this article is to provide insight into how to prevent undesirable functional and aesthetic outcome after the initial procedure and also to provide solutions for enhancement of functional and aesthetic outcome with secondary procedures. Functional and aesthetic outcome enhancement is discussed in relation to the individual structures within the oral cavity, for the mandible, and for facial reconstruction. Normal prerequisites for all individual structures are described, and key points for restoration of these functional and aesthetic issues are proposed. In addition, further suggestions to improve suboptimal results after initial reconstructive surgery are presented. Understanding the function and aesthetics of the area to be reconstructed will allow appropriate planning and management of the initial reconstruction. Secondary enhancement should be attainable by minor procedures rather than a requirement to redo the initial reconstruction.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.016
GPT teacher head0.262
Teacher spread0.245 · 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