Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".