Analysis of influenza A viruses from gulls: An evaluation of inter-regional movements and interactions with other avian and mammalian influenza A viruses
Bibliographic record
Abstract
Birds, including members of the families Anatidae (waterfowl) and Laridae (gulls and terns), serve as the major reservoir of influenza A viruses (IAVs). The ecogeographic contributions of gulls to global IAV dynamics, in terms of geographic scale and virus movements, are important and are distinct from those of waterfowl. Gulls primarily carry the H13 and H16 subtypes, yet can be infected by additional subtypes. Also, gulls are frequently infected by IAVs that contain mixtures of genes from different geographic phylogenetic lineages (e.g. North American and Eurasian). The present analysis examines a variety of viruses isolated from gulls and terns across the world that exhibit particularly high phylogenetic affinities to viruses found in other hosts. This illustrates the potential for gulls to act as highly pathogenic virus carriers, disseminators of viruses over long distances, and contributors in the genesis of pandemic strains. The historical evolution of an entirely Eurasian gull virus isolated in North America was also traced and indicates the Caspian Sea, in southwestern Asia, was an important area for the generation of this virus, and analysis of IAVs from terns also points to this region as relevant for the generation of novel strains.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".