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Record W2757261526 · doi:10.1002/jmv.24955

Hepatitis C virus infections among clients attending an HIV testing and counseling center in Dhaka, Bangladesh

2017· article· en· W2757261526 on OpenAlexfundno aff
Mustafizur Rahman, Mohammad Enayet Hossain, Mokibul Hassan Afrad, Rashedul Hasan, Md. Safiullah Sarker, Tasnim Azim

Bibliographic record

VenueJournal of Medical Virology · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
FundersGlobal Affairs CanadaDepartment for International DevelopmentDepartment for International Development, UK GovernmentStyrelsen för Internationellt Utvecklingssamarbete
KeywordsMedicineGenotypeHepatitis C virusVirologyPopulationHuman immunodeficiency virus (HIV)Hepatitis CVirusEnvironmental healthBiology

Abstract

fetched live from OpenAlex

The prevalence of hepatitis C virus (HCV) and genotypes among 965 individuals attending an HIV testing and counseling unit in Dhaka Bangladesh during Jan-Dec 2011 was determined. Anti-HCV antibody was detected in 4.4% individuals; the highest rate 37.8% was in people who inject drugs (PWID) followed by that in the general population (1.3%) and less than 1% in other populations. HCV RNA was detected in 2.7%. The most common genotype was genotype 3 (88.5%) followed by genotype 1 (11.5%). A national wide surveillance for HCV infection reaching all key populations is required to assess the countywide burden and to develop appropriate treatment strategies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.049
GPT teacher head0.375
Teacher spread0.327 · 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 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

Citations7
Published2017
Admission routes1
Has abstractyes

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