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Record W4323036025 · doi:10.1002/9781119790457.ch7

Thoracolumbar Disk Fenestration

2023· other· en· W4323036025 on OpenAlexaff
Brigitte A. Brisson

Bibliographic record

Venuenot available
Typeother
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFenestrationMedicineSurgeryDecompressionDissection (medical)LesionAnnulus (botany)

Abstract

fetched live from OpenAlex

Fenestration of the herniated disk space at the time of decompressive surgery is recommended to prevent further extrusion of disk material through the ruptured annulus fibrosus in the early postoperative period. Prophylactic fenestration of unaffected, adjacent thoracolumbar (TL) disks has been shown to significantly reduce confirmed late recurrence in dogs undergoing prophylactic disk fenestration in the TL region. Right-handed surgeons typically find that TL fenestration is easily performed on the left side of the spine, but since fenestration is most commonly performed with concurrent decompression, the approach will depend on the side of the lesion and the preferred surgical approach for decompression. Increased cost associated with longer surgical and anesthetic times, increased surgical incision length, and possibly postoperative morbidity related to additional tissue dissection and surgical trauma should however be considered on an individual basis. Dogs that undergo multiple fenestrations may have a longer incision, which may be more painful in the initial postoperative 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 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: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

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 head0.085
GPT teacher head0.360
Teacher spread0.275 · 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
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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