Особенности патологоанатомического исследования сердца у собак
Bibliographic record
Abstract
A methodology for post-mortem examination of heart in dogs taking into account the available literature data is presented. The sequence of the examination enables to diagnose various abnormalities. The features of the autopsy and examination of heart in large and small animals are described. Altogether, 43 dogs including 26 purebred and 17 mongrel dogs were examined. Pedigree dogs were presented by the following breeds: Malinois, German Shepherd, French Bulldog, Cocker Spaniel, Dachshund, Poodle, Pekingese, Doberman, Pomeranian, Central Asia Shepherd Dog, Caucasian Shepherd Dog, Pembroke Welsh Corgi and terriers. Of purebred dogs, males with heart diseases were prevalent among German Shepherd Dogs, French Bulldogs, Poodles and Central Asian Shepherd. As for mongrel dogs, females died more often than males. Dirofilariasis was diagnosed most often 26.9% and 35.3% in purebred and mongrel dogs, respectively. Enlarged right heart and pulmonary engorgement in mongrel dogs was detected in 17.6% cases, while in purebred dogs in 15.4% cases. Thrombosis in cardiac cavities, thrombosis in heart vessels, myocardosis, myocardial hypertrophy and myocardial infarction were found.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".