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Record W4414830162 · doi:10.7589/jwd-d-25-00048

Highly Pathogenic Avian Influenza (HPAI) Detected in 41 At-Risk Species in Canada

2025· article· en· W4414830162 on OpenAlexaffabout
Damien O. Joly, Yohannes Berhane, Jeff Bowman, Jolene A. Giacinti, Dayna Goldsmith, Nathan Hentze, Megan Jones, Claire M. Jardine, Stéphane Lair, Erin K. Leonard, Ariane Massé, Samira Mubareka, Cynthia Pekarik, Julie Paré, Neil Pople, M. J. Pybus, Brian Stevens, Trevor Thompson, Maeve Winchester

Bibliographic record

VenueJournal of Wildlife Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsAgriculture Food and Rural DevelopmentShared HealthGovernment of CanadaUniversity of TorontoSunnybrook Health Science CentreAlberta Environment and Protected AreasMinistère des Ressources naturelles et des ForêtsPublic Health Agency of CanadaUniversity of Prince Edward IslandCegep de Saint HyacintheUniversity of GuelphGovernment of British ColumbiaUniversity of SaskatchewanUniversité de MontréalCanadian Food Inspection AgencyEnvironment and Climate Change CanadaMinistry of Natural Resources and ForestryCanadian Natural Resources
Fundersnot available
KeywordsHighly pathogenicInfluenza A virus subtype H5N1CladeAvian influenza virusVirusDisease

Abstract

fetched live from OpenAlex

Highly pathogenic avian influenza (HPAI) H5Nx virus clade 2.3.4.4b has impacted wild birds and mammals in Canada since late 2021, including at-risk species. We compared detections and conservation status to highlight the need to integrate disease surveillance with conservation planning when assessing risks and to guide management.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.010
GPT teacher head0.252
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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