Molecular characterization of economically important poultry viruses in western Canada
Bibliographic record
Abstract
Avian Reovirus (ARV), Chicken Astrovirus (CAstV), and Hemorrhagic Enteritis Virus (HEV) are important enteric pathogens affecting poultry production around the world. These agents are the causative agents of Viral Arthritis (VA), White Chick Syndrome (WCS), and Hemorrhagic Enteritis (HE), respectively. In meat-type chickens, pathogenic strains of ARV can replicate in the joints leading to edema, inflammatory cell infiltrate, and fibrosis, which results in rupture of tendons. Similarly, pathogenic strains of CAstV can cause transient increase in mid to late embryo mortality, reducing hatchability between 4-68%, with some hatched birds exhibiting pale plumage; these “white chicks” (WCS) usually die within the first week of life. In turkeys, HEV infection has two presentations: 1) A clinical disease consisting on gastrointestinal hemorrhages, depression and immunosuppression (Clinical HE); and 2) subclinical infection, consisting in immunosuppression and causing economical losses due to secondary infections and plant condemnations. In recent years, these diseases have gained importance in western Canada as a result of the economic losses sustained from these infections in: a) feed conversion, b) high number of culls/first week mortality, c) secondary bacterial infections, c) processing plant condemnations; and d) costly disruptions to the Canadian Supply Management system. This thesis focuses on molecular characterization of ARV, CAstV, and HEV obtained either from clinical samples (ARV, CAstV), or from cases suspected to have subclinical infection (HEV) in poultry farms located in western Canada. The biological samples from chickens (ARV, CAStV) and turkeys (HEV) were collected from cases submitted for post-mortem examination and diagnosis to Poultry Health Services (PHS), a private poultry consulting firm, located in Airdrie, Alberta, western Canada. Further studies are required to assess the virulence of these isolates for understanding their impact in the western Canada Poultry Industry and for the implementation or enhancement of vaccination practices.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".