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Record W2591849401 · doi:10.1055/s-0037-1600596

Sino-Nasal Quality of Life before and after Endoscopic Transsphenoidal Skull Base Surgery

2017· article· en· W2591849401 on OpenAlexaff
Vincent Wu, Michael D. Cusimano

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2017
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsMedicineSkullSurgerySinus (botany)ResectionTranssphenoidal surgeryGold standard (test)Nasal cavityRadiologyPituitary adenomaAdenoma

Abstract

fetched live from OpenAlex

Background: Endoscopic transsphenoidal surgery (ETSS) is now considered the gold standard approach for resection of pituitary adenomas and other midline anterior skull base lesions. Our standard surgical technique, done since 1993, often involves the partial resection of the middle turbinates bilaterally, a wide posterior septectomy along with a wide sphenoid opening to allow for adequate bi-nostril instrumentation. For extended ETSS, additional sinus cavities are opened where the entire skull base and orbit are skeletonized. Concern has been raised over the last few years whether the resection of these normal sinonasal structures results in significant nasal morbidity in the post-operative period.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.076
GPT teacher head0.322
Teacher spread0.246 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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