Chronic disease will constrain China's economic growth
Bibliographic record
Abstract
Subject Chronic diseases and their impact on China's economic prospects. Significance Non-communicable diseases (NCDs) are now China's number-one health threat, contributing more than 80% of the country's 10.3 million annual deaths and nearly 70% of its total disease burden. With less than one-fifth of the world's population, China already suffers more than one-quarter of its cancer deaths. NCDs have been a priority for China since the 12th Five-year Plan was launched in 2011. However, the rate at which the chronic disease burden is growing is alarming. Impacts Greater investment in primary healthcare and social care is likely under the 13th Five-year Plan (2016-20). Business opportunities will expand in the healthcare, pharmaceuticals and health insurance sectors. As the challenge of chronic disease grows, the government is likely to extend market access to previously regulated sectors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".