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Carried hepatitis B among Libyan patients who attended the Al Zawia street hospital

2020· article· en· W3094185616 on OpenAlexaff
Khaled Ali Alawaini, Numidya Ali Omar, Hunida Saed Alhush, Eman Yakhlef kamkoum, Esra Ahmed Alazabi

Bibliographic record

VenueGSC Biological and Pharmaceutical Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineHBsAgCirrhosisChronic liver diseaseHepatitis B virusBlood transfusionHepatitis BPopulationLiver diseaseSexual contactHepatocellular carcinomaDiseaseDemographyEnvironmental healthVirusInternal medicineVirologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Hepatitis B (HBV) is a significant liver disease that affects roughly 400 million individuals globally with chronic infection, leading to liver cirrhosis or carcinoma. The virus can spread through blood transfusion, sexual contact, or the use of contaminated needles. HBV is more prevalent in developing countries than developed ones. However, it is estimated that 5% to 10% of the global population carry the virus, whereas, in North America and western Europe, only 1% of the people have a chronic infection. Our objective is to determine the prevalence of HBV and identify the disease’s risk factors. We conducted a statistical study, and data were collected through the Al Zzawia street hospital from November 1, 2010, to January 1, 2011. Our results concluded that the prevalence of HbsAg was higher in 2005 than in 2010. HBV was also found to be more prevalent in males than in females. As a result, more attention and guidance, especially for young people, could reduce the spread drastically.

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 score0.016
Threshold uncertainty score0.031

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 studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.086
GPT teacher head0.337
Teacher spread0.251 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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