Bibliographic record
Abstract
During the Northern Hemisphere spring of 2009, a novel H1N1 influenza A virus emerged in Mexico, causing widespread human infection and acute critical respiratory illness. The 2009 H1N1 virus spread initially to the United States and Canada, with subsequent rapid global dissemination, leading the World Health Organization (WHO) to declare "a public health emergency of international concern" in April 2009, and upgrading the viral threat to pandemic status in June 2009. Despite initial fears, the severity of the 2009 H1N1 pandemic overall did not differ significantly from that of seasonal influenza. However, the demographics of those at risk of severe illness did differ (affecting children and young adults, rather than the very young and the very old). The 2009 H1N1 pandemic led to rapid implementation of health care initiatives, including the provision of critical care services, to limit the effect of the influenza outbreak on the community. This review focuses on the critical care response to the H1N1 pandemic and examines whether the implementation of critical care services as planned a priori matched the reality of the clinical workload and the patient burden that transpired during the 2009 H1N1 influenza pandemic.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".