Bibliographic record
Abstract
Influenza constitutes the most widespread and significant respiratory infectious disease in the world, resulting in increased morbidity, mortality and economic loss each epidemic year. Pandemic influenza is a worldwide epidemic usually caused by a new virus variant to which the majority of the population has no immunity. As demonstrated in the devastating pandemic of 1918 to 1919, a pandemic virus may infect 30 to 50% of the worlds population and kill 1 to 2% of those infected. Pandemic control must be a concerted and co-ordinated world strategy and under the auspices of the World Health Organization, pandemic preparedness plans have been formulated, including: intensified surveillance for more rapid identification of new reassortant viruses with potential human virulence and infectivity, laboratory characterization of the new viruses so that vaccine may be prepared, development of techniques for more rapid vaccine production and the manufacture and stock piling of antiviral drugs. The H5N1 outbreak of virulent chicken influenza in 1997 in Hong Kong which resulted in the deaths of six of 18 infected persons serves as a wake-up call. Should such a virus attain high transmissibility in humans, a pandemic of tragic proportions might ensue. Even though the timing of onset of the next pandemic cannot be precisely predicted, world governments must understand the urgency of the problem and increase funding for influenza pandemic control.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".