COVID-19 Exposure in Working Equines-A Longitudinal Study
Bibliographic record
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as coronavirus infectious disease 19 (COVID-19) is known to infect multiple animal species, including equines. The annual economic impact of the equine industry is significant – involving some $300 billion dollars and 1.6 million full-time jobs globally with a worth of $16 billion in Canada9. The ability of horses to carry the SARS-CoV-2 virus is therefore of economic and public health interest. In this longitudinal study, four equines in a competitive hunter barn were monitored over a period of three years for the presence of COVID-19 by oral swab. Despite exposure to large numbers of people and other equines, no animals tested positive for COVID-19. This study suggests that the risk of transmission of COVID-19 in a competitive hunter barn setting is low.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".