Bibliographic record
Abstract
Each year, World Health Day celebrates the formation of the World Health Organization. In 2013, the theme is hypertension, and on April 4 there will be a media release from the World Health Organization (http://www.who.int/ world-healthday/en/). The WHO intends to focus attention on “the causes and consequences of hypertension, the need for people to have healthy behaviours to prevent hypertension, the need for regular blood pressure checks, and the need for governments to create healthy environments that would assist in preventing hypertension.” Increased blood pressure is recognized by the WHO as the leading risk for death and disability worldwide. An estimated 9.4 million deaths annually and 7% of all disability are caused by increased blood pressure. The World Hypertension League supports the efforts of the WHO to bring attention to hypertension and requests national hypertension organizations and experts utilize the World Health Day to advocate for actions to prevent and control hypertension. In addition, the World Hypertension League through its national member leagues and societies promote public awareness of hypertension through World Hypertension Day, annually, on May 17th. The World Hypertension League reminds all that:
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.461 | 0.442 |
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".