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Record W2911420026 · doi:10.1016/s2214-109x(18)30564-3

Costs of tuberculosis screening among inpatients with HIV

2019· letter· en· W2911420026 on OpenAlexaff
Alice Zwerling

Bibliographic record

VenueThe Lancet Global Health · 2019
Typeletter
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTuberculosisHuman immunodeficiency virus (HIV)MedicineMEDLINETuberculosis diagnosisEnvironmental healthVirologyIntensive care medicineMycobacterium tuberculosisBiologyPathology

Abstract

fetched live from OpenAlex

Mortality due to tuberculosis remains high among people living with HIV and accounted for 32% of AIDS-related deaths in 2017.1 Diagnosing tuberculosis remains challenging in people with HIV because they are often unable to provide sputum samples, which are required for most standard tests.1 In 2015, WHO issued conditional recommendations endorsing a urine lateral flow assay for Mycobacterium tuberculosis lipoarabinomannan (Alere Determine TB-LAM Ag test, Abbott, Waltham, MA, USA; TB-LAM) for use in adult inpatients with HIV, symptoms of tuberculosis, and CD4 counts of fewer than 100 cells per μL or serious illness.

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)0.001
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.003

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 head0.043
GPT teacher head0.366
Teacher spread0.323 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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