Occurrence of ascites in dogs in and around Gannavaram, India
Bibliographic record
Abstract
The present investigation was carried out at VCC, NTR College of veterinary science, Gannavaram from June to December 2022 to know the occurrence of ascites in dogs in and around Gannavaram. In current study a total of 4704 dogs were screened for ascites. The dogs that were diagnosed with abdominal effusion based on ultrasonography formed the material for the study. The occurrence of ascites was documented according to breed, age, gender, and etiology. The dogs were classified into different age groups such as less than 1 year, 1-4 years, 4-7 years and > 7 years. The affected dogs were categorized into distinct groups based on their underlying causes and comparative evaluation between groups was carried out. Out of 4704 dogs screened, 48 were diagnosed with ascites thus the overall occurrence of ascites was 1.02 per cent. The common causes of ascites reported were hepatic origin (43.75%), cardiac origin (20.83%), renal origin (12.50%), mixed origin (14.59%), parasitic origin (4.17%) as well as hypoproteinemia and neoplastic origin (2.08%) each. Occurrence was higher in male dogs (58.33%) aged above seven years (37.50%) and Labrador Retriever (39.58%) was most commonly affected breed.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".