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Record W2137980381 · doi:10.1086/342329

Insights into SEN Virus Prevalence, Transmission, and Treatment in Community‐Based Persons and Patients with Liver Disease Referred to a Liver Disease Unit

2002· article· en· W2137980381 on OpenAlexaffabout
Steve G. Wong, Daniélé Primi, Hiroshige Kojima, Alessandra Sottini, Antonio Giulivi, Manna Zhang, Julia Uhanova, Gerald Y. Minuk

Bibliographic record

VenueClinical Infectious Diseases · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsBC Centre for Disease ControlUniversity of ManitobaHealth Sciences Centre
Fundersnot available
KeywordsMedicineLiver diseaseDiseaseTransmission (telecommunications)PopulationInternal medicineChronic liver diseaseViral hepatitisViral diseaseSerologyHepatitis C virusGastroenterologyImmunologyVirusCirrhosisAntibody

Abstract

fetched live from OpenAlex

To document the prevalence and routes of transmission of SEN virus (SEN-V) in community-based individuals and patients referred to a liver disease unit, stored serum samples obtained from 160 Canadian Inuit and 140 patients with liver disease were tested for SEN-V DNA by polymerase chain reaction. In the community-based population, SEN-V was present in 57 (36%) of 160 persons. SEN-V-positive individuals tended to be younger and were more often male. Liver enzyme levels and serologic markers for hepatitis A and B viruses were similar in SEN-V-positive and SEN-V-negative individuals. SEN-V was present in 30 (21%) of the 140 patients with liver disease. Age, sex, risk factors for viral acquisition, prevalence of symptoms, and liver biochemical and histological findings were similar in SEN-V-positive and SEN-V-negative patients. These results indicate that SEN-V infection is a common viral infection in both healthy individuals and patients with chronic liver disease, that transmission likely occurs via nonparenteral routes, and that SEN-V infection is not associated with higher rates of or more-severe liver disease in persons with preexisting liver disease.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.070
GPT teacher head0.292
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2002
Admission routes2
Has abstractyes

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