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Record W4415170324 · doi:10.22442/jlumhs.2025.01397

Occupationally-Acquired HIV Infection - Role of Occupational Medicine in the Prevention and Management: Challenges and Recommendations

2025· article· en· W4415170324 on OpenAlexaff

Bibliographic record

VenueJournal of Liaquat University of Medical & Health Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsGovernment of Canada
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Public healthTransmission (telecommunications)Antiretroviral therapyDeveloping countryGlobal healthStavudine

Abstract

fetched live from OpenAlex

Human immunodeficiency virus (HIV) is a retrovirus that attacks the body's immune system. In the absence of antiretroviral therapy (ART) treatment, HIV infection can lead to Acquired Immunodeficiency Syndrome (AIDS), the most advanced final stage. HIV/AIDS represents a devastating global public health crisis. In developing countries, this problem is exacerbated by recent, sudden funding cuts from international donor agencies. These cuts disrupt access to ART medicines and prevention services for millions of people with HIV/AIDS worldwide. Based on the 2024 global estimates of 41 million (37–46 million) people with HIV/AIDS, 1.3 million new HIV infections, and 830,000 deaths, these funding reductions could result in an additional 4 to 11 million new HIV infections and up to 3 million AIDS-related deaths by 2030. HIV is a preventable disease. However, HIV transmission is ongoing worldwide1-3

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.044
GPT teacher head0.370
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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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