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Severe Chronic Active Epstein-Barr Virus Infection Mimicking Steroid-Dependent Inflammatory Bowel Disease

2005· article· en· W1982598082 on OpenAlexaff
Daniel Roth, Adrian Jones, Lesley Smith, Raymond Lai, Jutta K. Preiksaitis, Joan Robinson

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsAlberta Health ServicesProvincial Laboratory of Public HealthUniversity of Alberta
Fundersnot available
KeywordsInflammatory bowel diseaseVirusMedicineImmunologyDiseaseInflammationEpstein–Barr virus infectionEpstein–Barr virusPathology

Abstract

fetched live from OpenAlex

Severe chronic active Epstein-Barr virus infection is a rare, debilitating, nonneoplastic, inflammatory disorder for which there is no definitive treatment. We describe a Caucasian child who initially presented with clinical and histopathologic features consistent with inflammatory bowel disease, for whom additional investigations led to the diagnosis of severe chronic active Epstein-Barr virus 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 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)0.000
metaresearch head score (Gemma)0.000
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.240
Teacher spread0.234 · 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

Citations22
Published2005
Admission routes1
Has abstractyes

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