North American Plan for Avian and Pandemic Influenza
Bibliographic record
Abstract
Canada, Mexico and the United States face a growing threat posed by the spread of avian influenza and the potential emergence of a human influenza pandemic. The highly pathogenic (HPAI) H5N1 avian influenza virus, which re-emerged in Asia in late 2003, has already spread to Europe, the Middle East, and Africa. Although the virus has not yet reached North America, Canada, Mexico, and the United States must be prepared for the day when it or some other highly contagious virus does. At the March 2006 Security and Prosperity Partnership of North America (SPP) summit in Cancun, the leaders of Canada, Mexico, and the United States committed to developing a comprehensive, coordinated and science-based North American approach to prepare for and manage avian and pandemic influenza. The North American Plan for Avian and Pandemic influenza outlines how Canada, Mexico, and the United States intend to work together to combat an outbreak of avian influenza or an influenza pandemic in North America. The Plan complements national emergency management plans and builds upon the core principles of the International Partnership on Avian and Pandemic Influenza, the standards and guidelines of the World Organization for Animal Health (OIE), the World Health Organization (WHO) -- including the revised International Health Regulations, as well as the rules and provisions of the World Trade Organization (WTO) and the North American Free Trade Agreement. This Plan outlines a collaborative North American approach that recognizes controlling the spread of avian influenza or a novel strain of human influenza, with minimal economic disruption, is in the best interest of all three countries. Coordination among Canada, Mexico, and the United States will be critical in the event of an avian influenza outbreak or pandemic. The Plan, therefore, describes the organizational emergency management frameworks in each of the three countries and how they intend to coordinate their activities.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.017 |
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".