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Record W2916455931 · doi:10.1097/ipc.0000000000000717

Infectious Mononucleosis Caused by Dual Infection With Cytomegalovirus and Epstein-Barr Viruses

2019· article· en· W2916455931 on OpenAlexaff
Joe Dylewski, Kenneth John Drummond

Bibliographic record

VenueInfectious Diseases in Clinical Practice · 2019
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsMononucleosisMedicineSerologyVirologyEpstein–Barr virusCytomegalovirusVirusImmunosuppressionImmunologyEpstein–Barr virus infectionCytomegalovirus infectionHerpesviridaeAntibodyViral diseaseHuman cytomegalovirus

Abstract

fetched live from OpenAlex

Abstract Mononucleosis syndromes are most commonly caused by infection with either Epstein-Barr virus or cytomegalovirus. There are differences in their clinical presentation and means of acquisition. Both viruses establish lifelong latency. They are associated with inducing some degree of immunosuppression potentially resulting in reactivation of the second “infecting” virus. There are few reports of suspected dual infections, and it is serologically difficult to prove. We wish to describe 2 cases of mononucleosis for which the serologic evidence for dual infection is presented. We also wish to review the serologic tests that help establish an acute infection with each virus.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.352
Teacher spread0.332 · 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 teacher head, not a consensus.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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