BIOLOGICAL FEATURES OF THE SARS-COV-2 VIRUS FROM DOMESTIC ANIMALS IN THE TERRITORY OF THE RK
Bibliographic record
Abstract
There are limited data in the literature on the infection of domestic animals with SARS-CoV-2. Therefore, this article investigated biological samples (28 samples) taken from domestic animals on the territory of the Republic of Kazakhstan as part of a monitoring study. Using the ALPREP kit, total RNA was isolated by magnetic sorption, and using the ALSENSE-SARS-Cov-2 - RT-qPCR kit, the SARS-Cov-2 virus was detected from 7 samples. The SARS-Cov-2 virus was cultivated by the in vitro method on a Vero cell culture, and the biological activity of the accumulated virus-containing suspension was determined by the Reed and Muench method. A micrograph was taken on an electron microscope, which was used to determine the virus's size, shape and structure. As a result, a virus-containing suspension with the biological activity of 5.83±0.08 TCD50/cm3 was obtained on a Vero cell culture. The data obtained again indicates that domestic animals can also suffer from coronavirus and be carriers of this disease. It is becoming increasingly clear that the virus can infect and multiply in the organs of various farm and domestic animals.
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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 | 0.000 | 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".