Histopathological changes in the central nervous system of moose (Alces alces) in the Ivanovo region of Russia.
Bibliographic record
Abstract
This work describes histopathological changes in the central nervous system of moose (Alces alces) of different ages from various regions of the Ivanovo District. Moose are affected in certain parts of the world by a variety of infectious agents, such as anthrax, rinderpest, necrobacillosis, and foot and mouth disease, which is contracted by coming into contact with reindeer. All of these agents are capable of causing serious disease. Our present work attempted to detect less conspicuous forms of disease in moose that might reflect disturbances or degradation of ecological systems comprising their habitat. We particularly noted lesions in the central system of moose that were characterized by nonpurulent meningo–encephalitis, edema, perivasculitis in extracellular spaces, and focal ischaemic necrosis because of thrombosis of small vessels. Such changes presumably resulted from neuro–dynamical, vascular, physical–chemical, and fluid disturbances and were pronounced in the central nervous system of moose inhabiting regions with unfavorable environmental conditions. We observed the most serious changes in regions where chemical weed–killers, pesticides, and mineral fertilizers were irrationally applied.
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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".