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Record W4240416861 · doi:10.14740/jmc2618w

Cytomegalovirus Hepatitis in HIV Infection

2016· article· en· W4240416861 on OpenAlexvenueno aff
Abeer Albaadani, Salwa Alhumaidi, Shuaa Asiri

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCytomegalovirusImmune systemHuman immunodeficiency virus (HIV)ImmunologyVirologyChorioretinitisVirusHepatitisAIDS-Related Opportunistic InfectionsHuman cytomegalovirusViral diseaseHerpesviridaeSida

Abstract

fetched live from OpenAlex

Human immunodeficiency virus (HIV) is a virus spread through certain body fluids that attacks the body’s immune system, specifically the CD4 cells, often called T cells. This damage to the immune system makes it harder and harder for the body to fight off infections. acquired immunodeficiency virus (AIDS) is the stage of infection that occurs when the immune system is badly damaged and becomes more vulnerable to opportunistic infections. Cytomegalovirus (CMV) infection is one of the major causes of morbidity and mortality in patients with AIDS, mainly at very low CD4 count of < 50 cells/mm 3 with particular involvement of the retina causing chorioretinitis. Nevertheless, the involvement of other organs is unusual in AIDS patients. Here we present a case of HIV with CMV-related hepatitis which is considered a very rare presentation. J Med Cases. 2016;7(9):403-405 doi: https://doi.org/10.14740/jmc2618w

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.039
GPT teacher head0.350
Teacher spread0.311 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicCytomegalovirus and herpesvirus research→French-language works237,207→