Studying Possible Cross-Protection of Canada Geese Preexposed to North American Low Pathogenicity Avian Influenza Virus Strains (H3N8, H4N6, and H5N2) Against an H5N1 Highly Pathogenic Avian Influenza Challenge
Bibliographic record
Abstract
Highly pathogenic avian influenza (HPAI) H5N1 virus infections have caused unprecedented morbidity and mortality in different species of domestic and wild birds in Asia, Europe, and Africa. In our previous study, we demonstrated the susceptibility and potential epidemiologic importance of H5N1 HPAI virus infections in Canada geese. In this study, we investigated the potential of preexposure with North American lineage H3N8, H4N6, and H5N2 low pathogenicity avian influenza (LPAI) viruses to cross-protect Canada geese against a lethal H5N1 HPAI virus challenge. Based on our results, birds that were primed and boosted with an H5N2 LPAI virus survived a lethal H5N1 challenge. In contrast, only two of five birds from the H3N8 group and none of the birds preexposed to H4N6 survived a lethal H5N1 challenge. In vitro cell proliferation assays demonstrated that peripheral blood mononuclear cells collected from each group were no better stimulated by homologous vs. heterologous antigens.
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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 | 0.000 | 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) | 0.001 | 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".