Occurrence of urinary tract infection in different breed, gender and age of dogs in and around Bangalore
Bibliographic record
Abstract
Urinary tract infections (UTIs) typically result from normal skin and GI tract flora ascending the urinary tract and overcoming the normal urinary tract defenses that prevent colonization. Bacterial UTI is the most common infectious disease of dogs, affecting 14% of all dogs during their lifetime. The main objective of the study was to identify the agewise, breed-wise and gender-wise occurrence of urinary tract infection from the dogs that were presented to Veterinary College Hospital, Banglore during the study period from July 2022 to December 2022. A total of 2545 dogs were presented to the Veterinary College Hospital during the study period, out of these 65 dogs were considered for the study with clinical signs and history suggestive of UTI and having more than 103 cfu/ml on quantitative urine culture. Urinalysis and sonographic changes were evaluated. Maximum occurrence of urinary tract infection was found in dogs between the age of 1 - 3 years (36.92%). Most common breed of dog with urinary tract infection identified in this study was Labrador retriever (20.00 %). Female dogs (55.384%) showed higher occurrence than male dogs (44.615%).
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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 | 0.000 |
| 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".