Retrospective Study of Ascites in Canines of North Gujarat Region
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present work was conducted to evaluate the trend of ascites in canines of the North Gujarat region, India during 2017−2020. A total of 5094 dogs were presented for diverse clinical history at Veterinary Clinical Complex Deesa and Dantiwada. Amongst the dogs evaluated with clinical approach supported by ultrasonographic investigation in ascites suspected cases, total 91 were found affected. A thorough evaluation was conducted on all the dogs for various clinical signs. In most cases, the prominent clinical signs were abdominal distension, abnormal heart sound, and lethargy. History of no deworming was noticeable feedback from dog owners. Year wise prevalence of ascites was noted as 1.12% (2017), 1.12% (2018), 1.38% (2019) and 3.25% (2020) irrespective of etiologies. An increasing trend of ascites cases was observed over the years under evaluation. Female dogs were found more prone to ascites condition. Higher prevalence was observed in dogs one to the 5-year age group. Maximum numbers were reported from non-descript breed (n=19), labrador (n=13) and German shepherd (n=10). Anechoic fluid and fibrin in the abdominal cavity were consistent findings in most cases during ultrasonographic evaluation. Ascites can be prevented by regular deworming and by diet management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it