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Record W4298003152 · doi:10.51731/cjht.2022.456

Delayed Tuberculin Skin Testing

2022· article· en· W4298003152 on OpenAlexaboutno aff
Anusree Subramonian, Melissa Walter

Bibliographic record

VenueCanadian Journal of Health Technologies · 2022
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculinGuidelineTuberculosisSkin testDiseaseIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex


 With delayed tuberculin skin testing (TST) a single TST is performed to screen for tuberculosis (TB) infection 8 weeks after exposure to a known case of TB.
 The clinical utility (i.e., clinical benefits and harms of testing) of delayed TST for identifying TB among close contacts with no known risks compared to testing immediately after and at 8 weeks after TB exposure is not known (no evidence was found).
 It is not known if delayed TST is a cost-effective approach for identifying TB among close contacts with no known risks compared to testing immediately after and at 8 weeks after TB exposure (no evidence was found).
 One evidence-based guideline developed in Canada does not provide specific recommendations regarding delayed TST in close contacts with no known risks of TB. However, the guideline authors discuss that a single TST at 8 weeks after TB exposure could be a practical option for medium-priority contacts (i.e., those with a lower risk to develop active disease). For high-priority contacts (i.e., those with the most exposure and highest risk to develop active disease), the authors propose testing immediately after exposure and a repeat test 8 weeks later.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.064
GPT teacher head0.340
Teacher spread0.276 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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