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Hypoglossal-vertebral entrapment syndrome

2008· article· en· W2058374140 on OpenAlexaff
Yasser Aladdin, Zaeem A. Siddiqi, Khurshid Khan, S. Nizam Ahmed

Bibliographic record

VenueNeurology · 2008
Typearticle
Languageen
FieldMedicine
TopicSpinal Hematomas and Complications
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsDysarthriaEctasiaMedicineAnatomyVertebral arteryHypoglossal nervePalsyTongueRadiologySurgeryPathology

Abstract

fetched live from OpenAlex

Hypoglossal-vertebral entrapment syndromeA 54-year-old man presented with nonprogressive dysarthria due to isolated right hypoglossal nerve (HN) palsy.The cranial MRI reveals an ectatic right vertebral artery impinging on the cisternal segment of HN (figure).The hypoglossal-vertebral entrapment syndrome 1 occurs as the hypoglossal rootlets converge directly over the distorted vessel with resultant mechanical compression and direct nerve ischemia.Indeed, HN partly derives its blood supply from vertebral branches. 2 Intracranial dolichoectasia is another media-involving arteriopathy with association to small vessel diseases.Validated surgical or endovascular interventions do not exist for this condition.Treatment should address identifiable vascular risk factors along with symptomatic speech rehabilitation.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.262
Teacher spread0.234 · 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 designCase report
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

Citations6
Published2008
Admission routes1
Has abstractyes

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