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Record W1995050118 · doi:10.4021/jmc.v4i9.1319

Transient Monoparesis Due to Brainstem and Thalamic Herpes Simplex 2 Encephalitis

2013· article· en· W1995050118 on OpenAlexvenueno aff
David H. Whitney, EJ Gettings, Troy Desai, Thomas F. Scott

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBrainstemHerpes simplex virusEncephalitisHSL and HSVHuman herpesvirus 6Varicella zoster virusPediatricsVirologyVirusHerpesviridaePsychiatryViral disease

Abstract

fetched live from OpenAlex

PCR testing for herpesvirus infections has broadened our understanding of the full spectrum of central nervous system disorders seen as a result of herpesvirus infections. Herpesvirus infections of the brainstem are rare, and are usually due to HSV-1 or varicella zoster. Clinicians need to be aware of an ever increasing variety of presentations for these neurological syndromes. Over time, through case reports, we may see patterns emerge concerning the clinical presentations of particular herpesvirus family members. We add to a group of rare reports of brainstem involvement in HSV-2 infection (more commonly due to HSV-1). J Med Cases. 2013;4(9):591-593 doi: http://dx.doi.org/10.4021/jmc1319w

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.309
Teacher spread0.285 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

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