Infectious Bronchitis Virus Surveillance in Ontario Commercial Layer Flocks
Bibliographic record
Abstract
Infectious bronchitis (IB) is one of the most important viral diseases of poultry and causes major economic losses to the industry. IB status in commercial layers in southern Ontario was assessed through a questionnaire. According to the data gathered from egg producers of Ontario, repeated outbreaks of IB occurred even though flocks had been routinely vaccinated. Based on this information, 13 farms throughout the region were selected for IB virus (IBV) surveillance. IBV vaccinated and unvaccinated sentinel birds were placed in barns with different IB histories, and after a 1-wk exposure tissues and pharyngeal swabs were collected and tested for the presence of IBV. An initial study indicated that tracheal tissues were more often positive than samples from cecal tonsils, kidneys, lungs, and pharyngeal swabs. Therefore, all subsequent IBV detection was directly on tracheal tissues with nucleocapsid (N) gene specific reverse transcription (RT) polymerase chain reaction (PCR). From the sentinel bird placements and N-gene RT-PCR analysis, IBV was detected on 11 farms with differing IB histories. The study indicated that farms with previous IB outbreaks could harbor the virus without clinical signs in the flocks. In addition, some farms, although they did not report having IB associated problems, were IBV positive by N-gene RT-PCR.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".