Monitoring of animal rabies in the Krasnodar Territory and the Russian Federation
Bibliographic record
Abstract
Rabies infection is a group of transmissible diseases that affect the public economy and public health, both in individual countries and the world as a whole. The epizootic situation of rabies in most countries of the world is unfavorable. According to the OIE, in 2021, countries with rabies problems were Armenia, Germany, Canada, Malaysia, Melilla, USA, Sueta, Taiwan, Ukraine, Uruguay. The epizootic situation of rabies in Russia remains tense. In May and June 2022, 105 rabies-prone areas were identified, most of which are in the Central, Volga and Ural Federal Districts. The largest number of diseased animals was found in the wild fauna. In the Krasnodar Territory, a decrease in cases of rabies among animals has been registered, but the prognosis for the disease remains cautious.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".