Bibliographic record
Abstract
Infectious diseases remain one of the leading causes of death worldwide.According to the latest World Health Organization estimates (2008; http://apps.who.int/ghodata/?vid=10012), deaths attributable to infectious diseases, including respiratory illnesses, is the 2 nd leading cause of death, responsible for an estimated 12.2M (21.5% of a total of 55.9M) deaths annually (Figure 1a), with cardiovascular diseases estimated as responsible for 30.5% of total deaths and neoplasms responsible for 13.6% of all deaths.The infectious disease burden is especially acute in developing countries.While infectious disease deaths account for less than 7% of the total in the "developed" countries (such as American and European Countries; Figure 1b), it is the leading cause of death in less-developed areas (Figure 1c).Since infectious diseases afflict all sectors of the population, with many infections being particularly serious for neonates and children, whereas most cardiovascular diseases and neoplasms afflict the more elderly, the cumulative life-adjusted burden of infectious diseases is significantly higher, and thus infectious diseases may be argued to be the most serious health concern.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".