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Record W2092986740 · doi:10.1055/s-2002-35815

Surgical Approaches and Complications

2002· article· en· W2092986740 on OpenAlexaff
Neil Duggal, Mauricio Campos

Bibliographic record

VenueSeminars in Neurosurgery · 2002
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineIntensive care medicine

Abstract

fetched live from OpenAlex

Selecting the most appropriate surgical approach to the craniovertebral junction (CVJ) is based on minimizing the associated morbidity and maximizing the operative exposure in relation to the size, pathology, and specific location of the lesion. With the evolving repertoire of modern neurosurgical techniques, direct access to the CVJ can be attained along all 360 degrees of the occipital-spinal axis. Anterior-superior approaches to the CVJ, which include the transoral approach, are best suited for extradural, midline lesions of the clivus and upper cervical vertebrae. Anterior lesions that have a paramedian location or extend inferiorly from the CVJ may be exposed by either a retropharyngeal or mandibular swing approach. The lateral approaches to the CVJ include the lateral transcervical, transpetrosal, and infratemporal fossa approaches. These approaches are particularly well suited for ventrally situated intradural lesions. Finally, posterior approaches are preferred for midline posterior or posterolaterally situated intradural lesions. The far lateral approach provides direct access to the lower ventral brainstem and the anterior foramen magnum while minimizing the need for retraction. The following article is a synopsis of the most common surgical approaches. KEYWORDS Craniovertebral junction - surgery - transoral - far lateral - suboccipital - complications

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)0.000
metaresearch head score (Gemma)0.000
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 score0.118
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.084
GPT teacher head0.282
Teacher spread0.198 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2002
Admission routes1
Has abstractyes

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