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Record W1986316803 · doi:10.4021/jnr.v3i5.253

Aneurysmal Dilatation of Anterior Cranial Fossa Dural Arteriovenous Fistula: Three Cases

2013· article· es· W1986316803 on OpenAlexvenueno aff
Yawei Zhang, Bangqing Yuan

Bibliographic record

VenueJournal of Neurology Research · 2013
Typearticle
Languagees
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnterior cranial fossaClipping (morphology)SurgeryArteriovenous malformationFistulaRadiologyArteriovenous fistulaAngiographyVascular malformationAneurysmCerebral angiographySkull

Abstract

fetched live from OpenAlex

Aneurysmal dilatation of anterior cranial fossa dural arteriovenous fistula is a rare malformation with a unique and complex angio-architecture profile. Clinical manifestations, diagnosis and treatment management of three patients with the malformation were retrospectively analyzed. Preoperative examinations revealed all three patients suffered from aneurysmal dilatation; two of them were treated with surgical clipping of the fistula as well as removing of the aneurysm, and cured; one patient died of delayed surgical operation and other complications in two weeks. MRI examination could be used for early diagnosis and cerebral angiography could further confirm the diagnosis. To achieve a favorable outcome for patients the malformation has to be treated as early as possible by surgery or interventional therapy. doi: http://dx.doi.org/10.4021/jnr230e

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)0.001
metaresearch head score (Gemma)0.001
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 score0.058
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.067
GPT teacher head0.367
Teacher spread0.300 · 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
Published2013
Admission routes1
Has abstractyes

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