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Record W2893825906 · doi:10.14785/lymphosign-2018-0011

Epstein–Barr virus infection in primary immunodeficiency

2018· article· en· W2893825906 on OpenAlexvenueno aff
Adi Ovadia, Ilan Dalal

Bibliographic record

VenueLymphoSign Journal · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary immunodeficiencyImmunologyHemophagocytic lymphohistiocytosisImmune systemDiseaseImmune dysregulationAsymptomaticEpstein–Barr virusEpstein–Barr virus infectionImmunodeficiencyVirusMedicineBiologyPathology

Abstract

fetched live from OpenAlex

Primary immunodeficiency (PID) is a group of genetic disorders which affects immune cell development, differentiation, and function. The affected individuals are highly susceptible to infection by a diverse array of pathogens. Epstein–Barr virus (EBV) infection is ubiquitous in humans and usually involves an asymptomatic or self-limiting clinical course. In rare cases, EBV can cause not only an acute infection but also a severe exaggerated immune response and lymphoproliferative disease. Furthermore, EBV infection in patients with PID can lead to immune dysregulation and increased risk of malignancies, in addition to the severe course of the acute infection. Recognition of the different genetic defects and their effect on immunological pathways provide us with fundamental insights into the pathophysiology of EBV infection and associated disease, and may lead to developing better targeted therapies in the future. Here, we review all of PIDs with an abnormal response to EBV disease. Statement of novelty: Here we provide a review of the current knowledge of all PIDs reported to be associated with abnormal response to EBV infection and associated disease, such as hemophagocytic lymphohistiocytosis.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2018
Admission routes1
Has abstractyes

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