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A MODIFICATION OF THE CLASSIC TECHNIQUE FOR EXPANSION DUROPLASTY OF THE POSTERIOR FOSSA

2007· article· en· W2036693907 on OpenAlexaff
Fahrad Pirouzmand, William S. Tucker

Bibliographic record

VenueOperative Neurosurgery · 2007
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsForamen magnumMedicinePosterior fossaPosterior cranial fossaSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Expansion of the posterior fossa is the goal in treatment of many neurosurgical diseases sharing a small posterior fossa and/or tightness at the level of foramen magnum. To further enhance the dural opening at the level of foramen magnum, a modification in the duroplasty technique is suggested. METHODS: A simple modification of the classic Y-shaped technique for expansion duroplasty of the posterior fossa is described. This includes an "inverse V-shaped" extension at the bottom of linear durotomy. RESULTS: The key advantage of this technique is creating more transverse expansion of the dural opening in the lower part of duroplasty. This technique has been used in six patients with no technical difficulties or complications. CONCLUSION: This new method of dural opening provides a safe and likely efficient addition to the traditional technique of posterior fossa durotomy.

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)0.001
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: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.331
Teacher spread0.293 · 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
Published2007
Admission routes1
Has abstractyes

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