Bibliographic record
Abstract
A pandemic outbreak of viral influenza could occur if highly virulent zoonotic strains (such as avian H5N1) were to acquire the ability to transmit among humans. This possibility has increased concern, interest, and investigation in the influenza field. This heightened interest was reflected in the participation of numerous health officials, clinicians, and scientific investigators in the Sixth Conference on the Options for the Control of Influenza held in Toronto, Ontario, Canada from June 17-23, 2007. A recurring theme was that H5N1 viruses and the now-available reassortant/recombinant viruses from the 1918 pandemic have striking pathological and molecular similarities. Understanding these similarities, and how the viruses differ from currently circulating strains will be critical for timely preparation of the appropriate vaccines and antiviral therapies if a new pandemic should arise. To that end, this international conference was a fully comprehensive exchange of information covering public health, pandemic planning/preparedness, current and developing vaccines, animal ecology/zoonosis, mathematical modeling, virology, and viral immunology. In this review I will focus on basic research of pathogen-host interactions and immune responses to influenza A virus reported at this conference.
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) | 0.000 | 0.000 |
| 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".