May Measurement Month 2019: results of blood pressure screening from 47 countries
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
There continues to be an inexorable rise in the death toll due to raised blood pressure (BP) which remains the biggest single contributor to global death and the global burden of disease.1 It is estimated that in 2019 about 19% of all deaths (10.8 million) were due to raised BP, having risen from 9.4 million deaths in 2014.2 Hypertension causes over 50% of cases of heart disease, \nstroke, and heart failure3 and it is estimated that about 10% of global healthcare spending arises from raised BP and its complications.4 Moreover, hypertension-mediated organ damage increases risk of severe infections from COVID-19, including risk of death.5 For any of these reasons, it is critical to prevent and, failing that, identify and manage raised BP that appears to differentially affect the most vulnerable groups in society. [...]
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.
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 | 0.000 |
| 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) | 0.001 | 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