Rolling out new anti-tuberculosis drugs without diagnostic capacity
Bibliographic record
Abstract
Deaths from tuberculosis (TB) reached over 1.6 million in 2021 with 10.6 million people becoming ill. Multidrug-resistant TB, defined as the Mycobacterium tuberculosis organism having resistance to at least isoniazid and rifampicin, represented 3.9% of new TB cases and 18% of previously treated cases. While new drug regimens continue to be developed and introduced to improve treatment of drug-resistant forms of TB, diagnostic capability to identify drug resistance lags woefully behind. While significant mortality benefits exist for these newer drug regimens, implementing them without proper drug resistance diagnostic capacity could lead to development of more drug resistances and exhaust these new therapeutic tools. Moving forward, the roll-out of new TB drugs and regimens must be paired with implementation of diagnostics to ensure judicious use of resources and the best chance for improving TB worldwide.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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.
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".