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Record W2739065142 · doi:10.14740/jh333w

Hypertrophic Herpes Simplex Virus Type 1 Infection in a Patient With Acute Myeloid Leukemia

2017· article· en· W2739065142 on OpenAlexvenueno aff
Yusuke Ogawa, Takakazu Higuchi, Ryosuke Koyamada, Satoru Arai, Sadamu Okada

Bibliographic record

VenueJournal of Hematology · 2017
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHerpes simplex virusMyeloid leukemiaPrednisoloneVirologyImmunologyMyeloidVirusPathologyGastroenterology

Abstract

fetched live from OpenAlex

A 64-year-old woman had a transformation from polycythemia vera to acute myeloid leukemia. While she was treated with azacitidine and prednisolone, a nodule at the left angle of the mouth developed, which was biopsied and diagnosed with hypertrophic herpes simplex virus type 1 (HSV-1) infection. The nodule resolved completely with aciclovir. While HSV type 2 virus occasionally forms mass or tumoral lesions in immunocompromised, especially acquired immunodeficiency syndrome, patients, it is extremely rare that HSV-1 infection leads to similar lesions. The hematological conditions and the therapies given may have contributed to the rare manifestation of HSV-1 infection.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.301
Teacher spread0.282 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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