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Record W2157893146 · doi:10.4269/ajtmh.2012.12-0100

Treatment of Granulomatous Amoebic Encephalitis with Voriconazole and Miltefosine in an Immunocompetent Soldier

2012· article· en· W2157893146 on OpenAlexaff
Duncan Webster, Imram Umar, George Kolyvas, J. Bilbao, Marie‐Christine Guiot, Kevin Duplisea, Yvonne Qvarnström, Govinda S. Visvesvara

Bibliographic record

VenueAmerican Journal of Tropical Medicine and Hygiene · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsSaint John Regional Hospital
Fundersnot available
KeywordsMiltefosineVoriconazoleEncephalitisMedicinePathologySerologyDermatologyImmunologyLeishmaniasis

Abstract

fetched live from OpenAlex

A 38-year-old male immunocompetent soldier developed generalized seizures. He underwent surgical debulking and a progressive demyelinating pseudotumor was identified. Serology and molecular testing confirmed a diagnosis of granulomatous amoebic encephalitis caused by Acanthamoeba sp. in this immunocompetent male. The patient was treated with oral voriconazole and miltefosine with Acanthamoeba titers returning to control levels and serial imaging demonstrating resolution of the residual lesion.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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

Citations61
Published2012
Admission routes1
Has abstractyes

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