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Record W3047185365 · doi:10.1212/wnl.0000000000010476

Pearls & Oy-sters: Dural defect repair as treatment for refractory headache from cerebrospinal fluid leak

2020· article· en· W3047185365 on OpenAlexaff
Tommy Lik Hang Chan, David Kim, Syed Hashmi, Ian Carrol

Bibliographic record

VenueNeurology · 2020
Typearticle
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsWestern University
Fundersnot available
KeywordsCerebrospinal fluidRefractory (planetary science)Cerebrospinal fluid leakLeakMedicineSurgeryPathologyMaterials science

Abstract

fetched live from OpenAlex

Pearls c CSF leak should be considered in patients with suspected low-pressure, orthostatic headaches and a sacral canal fluid-intensity lesion demonstrated on imaging.c Advanced imaging modalities, such as CT/magnetic resonance myelogram, and/or surgical exploration may be required to confirm a CSF leak.cIf epidural blood patch is ineffective, surgical repair may be necessary to manage refractory CSF leak. Oy-stersc A sacral fluid-intensity lesion on MRI may be mistaken as a perineural (Tarlov) cyst unassociated with CSF leak.c Patients with CSF leak and suspected low-pressure orthostatic headaches may have a normal MRI of the head in up to 20% of cases.c MRI spine may not be effective in localizing a 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.

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)0.002
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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.069
GPT teacher head0.321
Teacher spread0.252 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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