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Record W2606921230 · doi:10.1017/cjn.2015.121

Child Neurology (Neurocritical Care/Neuro Trauma)

2015· article· en· W2606921230 on OpenAlexaffvenue
J Mailo, Jeff Pugh, FD Jacob

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2015
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicineMeningitisPalsyContext (archaeology)HeadachesPediatricsNeurointensive careEncephaloceleNeurologySixth nerve palsySurgeryAnesthesiaPathology

Abstract

fetched live from OpenAlex

Background: Focal neurological deficits occur in approximately 15% of children with bacterial meningitis. However, cranial nerve involvement such as facial-nerve palsy is uncommon in non-tuberculous bacterial meningitis. Methods: Case Report. Review of the literature was conducted on Pubmed for the search terms: facial nerve palsy and meningitis. Results: We present the case of a 4-year old right-handed girl who presented with a new onset unilateral facial nerve palsy preceded by 5-day history of fever and headaches. The patient had meningeal signs and was identified to have Streptococcal Meningitis. MRI of the brain showed a large previously undiagnosed intranasal encephalocele. The facial palsy resolved within 7 days of antibiotic treatment. Conclusions: Our case represents an unusual combination of facial nerve palsy in context of Streptococcal Meningitis secondary to intranasal encephalocele.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.008

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 head0.056
GPT teacher head0.314
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes2
Has abstractyes

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