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Record W2216168628 · doi:10.1159/000329228

Endoscopic Reconstruction of Anterior Skull Base Defects

2012· book-chapter· en· W2216168628 on OpenAlexaff
Adam M. Zanation, Ricardo L. Carrau, Carl H. Snyderman, Amin Kassam, Paul A. Gardner, Daniel M. Prevedello, Arlan Mintz

Bibliographic record

VenueProgress in neurological surgery · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineSkullLeakCerebrospinal fluid leakSurgeryCerebrospinal fluidPathology

Abstract

fetched live from OpenAlex

Over a 10-year interval, major advances in endoscopic technique as well as instrumentation to facilitate the endoscopic endonasal approach (EEA) to the skull base have been reported. The authors describe the evolution of and resulting methods for reconstruction of the skull base following EEA using multilayer, free tissue grafts to the more recent adoption of the vascularized nasoseptal flap. Other options such as the pedicled inferior turbinate flap and temporoparietal fascial flaps are also discussed. Technical aspects of flap harvest and application are discussed as well as risk factors for CSF leak. The high-risk CSF-leak patient is identified, and methods to reduce CSF leak to less than 5%are described.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.288
Teacher spread0.242 · 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 designObservational
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

Citations3
Published2012
Admission routes1
Has abstractyes

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