Canada's inter‐agency wild bird influenza survey
Bibliographic record
Abstract
Canada's Inter-agency Wild Bird Influenza Survey, which started in 2005, and is a collaborative effort among federal, provincial and territorial government agencies as well as non-governmental organizations and academic institutions, has two components: (i) a seasonal survey of live wild waterfowl species from selected geographic regions across Canada (to expand our understanding of the avian influenza viruses circulating in wild bird populations); and (ii) an ongoing survey of birds found dead that are submitted to a regional diagnostic laboratory (to enhance detection of highly pathogenic avian influenza strains). Combined swabs from the cloaca and oropharynx collected from each bird are screened using a real-time reverse transcriptase-polymerase chain reaction (RRT-PCR) that targets a unique segment of the influenza A M1 gene. If the M1 result is positive or inconclusive, RRT-PCR for gene segments of the H5 and H7 hemagglutinin subtypes are performed. All samples that are RRT-PCR positive for H5 or H7 are sent immediately for test confirmation and further characterization. All field and laboratory data are entered into a database developed and maintained by the Canadian Cooperative Wildlife Health Centre. Since the survey commenced in 2005, on average, 30% of all live ducks sampled, 5% of other species of live birds and 3% of birds found dead have tested positive for avian influenza, all of North American lineage and of low pathogenicity.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".