Measuring HIV-related mortality in the first decade of anti-retroviral therapy in sub-Saharan Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For the past 30 years, many communities and countries in sub-Saharan Africa have suffered from the ravages of the HIV epidemic. During this time the mortality rates in HIV-infected people have been 10–20 times higher than in HIV-uninfected people. Since the advent of anti-retroviral therapy (ART), mortality and morbidity have decreased considerably. However, it has been difficult to get reliable estimates of the impact of ART in population-based studies. The measurement of the impact of ART on mortality requires long-term follow-up in communities where regular HIV testing allows the estimation of mortality by HIV status, such as the population cohorts in the network for Analysing Longitudinal Population-based HIV data in Africa (ALPHA). An alternative estimation from verbal autopsy (VA) requires reliable tools and consistent interpretation of causes of death, which have been taken forward by recent standards from the World Health Organization (WHO) and the development of the corresponding InterVA-4 model for cause of death assignment.
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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 | 0.003 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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 it