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Record W2000354982 · doi:10.1017/s0317167100007654

Spontaneous C1-2 CSF Leak Treated with High Cervical Epidural Blood Patch

2008· letter· en· W2000354982 on OpenAlex
Philip Peng, Richard Farb

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2008
Typeletter
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEpidural blood patchMedicineMyelographyCerebrospinal fluidIntracranial HypotensionMagnetic resonance imagingRadiologyLeakAtaxiaSpinal cordPathology

Abstract

fetched live from OpenAlex

Spontaneous intracranial hypotension (SIH) is a condition caused by spontaneous spinal cerebrospinal fluid (CSF) leaks. Clinically, it is characterized by orthostatic headache and may respond well to epidural blood patch. Other neurological presentations of SIH include diplopia, memory loss, hearing deficits, Parkinsonism, ataxia, obtundation and even coma. Magnetic resonance imaging (MRI) is crucial in the diagnosis of this condition. Typical radiological features include diffuse pachymeningeal enhancement, descent of the cerebellar tonsil, a decrease in the size of prepontine and perichiasmatic cisterns, and subdural fluid collections. However, radiological imaging such as radionuclide cisternography or spinal MRI are not reliable in detecting the site of leakage. Myelography with iodinated contrast followed by thin-cut computed tomography (CT) or MRI of the entire spine has been shown as the technique of choice in defining the location of the CSF leak.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.011
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0010.007
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 head0.029
GPT teacher head0.245
Teacher spread0.216 · 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