Canada Geese and the Epidemiology of Avian Influenza Viruses
Bibliographic record
Abstract
Canada geese (Branta canadensis) are numerous, highly visible, and widely distributed in both migratory and resident populations in North America; as a member of the order Anseriformes, they are often suggested as a potential reservoir and source for avian influenza (AI) viruses. To further examine the role of Canada Geese in the ecology of AI, we re-evaluated existing literature related to AI virus in this species and tested breeding populations of Canada Geese from three states (Georgia, West Virginia, and Minnesota, USA) by virus isolation and serology. The ability of AI virus to persist in goose feces under experimental conditions also was evaluated as an additional measure of the potential for this species to serve as an AI virus reservoir. Virus was not isolated from 1,668 cloacal swabs and type-specific antibody prevalence was low (4/335, 1.2%). Finally, under experimental conditions, AI virus persistence in goose feces and in water contaminated with goose feces was limited as compared to published estimates from duck feces and water. Our results are consistent with historic reports of a low prevalence of AI virus infection in this species, and we suggest that Canada Geese play a minor, if any, role as a reservoir for low pathogenic AI viruses that naturally circulate in wild bird populations.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".