Adiposity and mortality in South Asians: challenges to the existing paradigm
Bibliographic record
Abstract
In 2010, the Global Burden of Disease study estimated that 3·4 million deaths were attributable to a body-mass index (BMI) above 21–23 kg/m2.1 These estimates were based on data that were predominantly from Europeans and east Asians, with few data from other ethnic groups.2 There was a positive relation between BMI (when >25 kg/m2) and cardiovascular disease, respiratory disease, cancer, and mortality.2 These estimates are robust in Europeans (56 477 deaths) and east Asians (100 784 deaths) but there was no apparent association in South Asians.
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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 | 0.132 | 0.112 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.009 | 0.019 |
| Open science | 0.007 | 0.013 |
| Research integrity | 0.006 | 0.020 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".