Occurrence of renal disorders and associated clinico-epidemiological factors in dogs of Bareilly region of Uttar Pradesh, India
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
Urinary system plays an important role in the excretion of the metabolic waste from the body. Kidney is the vital organ of the body having variety of functions, important for the survivability of the animal. Any of alteration in kidney function disbalance the normal homeostasis of the body and if not noticed earlier, the alteration in kidney in chronic case may leads to the death of animals. Overall incidence of kidney failure cases from March, 2021 to August,2021 was found 1.16%. Dogs were screened for renal failure on basis of history (Toxin, nephrotoxic drug), clinical signs (vomiting, anorexia, weight loss, oral ulcer, halitosis, dullness, pale mucus membrane etc.), haemato-biochemical analysis (Haemoglobin, Packed cell volume, Total erythrocyte count, total antioxidant capacity, creatinine, blood urea nitrogen) urinalysis (proteinuria, glucosuria, ketonuria, leucocytes and Casts and specific gravity) and ultrasonography. According to different age groups it was found that highest incidence were in 4-8 yrs. of age group, followed by >8 yrs. of age group and lowest in 0-4 yrs. of age group. Highest cases of renal failure were recorded in Labrador followed by Pomeranian and German shepherd etc. In terms of males and females, males (1.24%) were more affected than Female (0.57%) out of total diseased cases of canine population from March, 2021 to August, 2021.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it