Diagnosis of Tuberculosis in Low-Resource Settings: Overcoming Challenges Within Laboratory Practice
Bibliographic record
Abstract
Tuberculosis (TB), rightly referred to as an ancient disease, has affected humans for thousands of years, the first drafted reference of which came from India and China around 3,300 and 2,300 years ago, respectively. TB, caused by a bacillus called Mycobacterium tuberculosis, is a deadly infectious disease that is transmitted through aerosol droplets, and is estimated to have infected one-quarter of the global population. It has a mortality rate of 50% if treatment is not provided; however, with timely detection and interventions, which include currently recommended anti-TB drugs, 85% of people can be cured. India, being a resource-poor country, has one of the highest burdens of TB in the world, with an incidence of 210/100,000 in 2021, according to the World Health Organization (WHO) Global TB report of 2022.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".