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Record W2943565764 · doi:10.1016/j.idcr.2019.e00551

West Nile Virus infection in a renal transplant recipient resulting in polioencephalomylelitis, quadriplegia, and global brain atrophy

2019· article· en· W2943565764 on OpenAlexaff
Kamran Kadkhoda, John M. Embil, Lundy R. McKibbin, James McEachern, Michael Drebot

Bibliographic record

VenueIDCases · 2019
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsHealth Sciences CentrePublic Health Agency of CanadaUniversity of Manitoba
Fundersnot available
KeywordsMedicineWest Nile virusCerebrospinal fluidSpinal cordAtrophyMagnetic resonance imagingSerologyPathologyTetraplegiaVirusVirologyImmunologySpinal cord injuryRadiologyAntibody

Abstract

fetched live from OpenAlex

An immunosuppressed man developed rapidly progressive neurologic symptoms resulting in quadriplegia. On magnetic resonance imaging multiple areas of abnormal enhancement were observed in the brain, and spinal cord. Serologic evidence of West Nile Virus (WNV) was discovered in the cerebrospinal fluid. This report highlights the catastrophic complications of WNV in an immunocompromised host.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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