Seroprevalence and molecular identification of canine leptospirosis in and around Bangalore
Bibliographic record
Abstract
Leptospirosis which is an anthropozoonotic disease is emerging worldwide with its zoonotic implications owing to its high prevalence in both developed as well as developing countries stemming from serovars of Leptospira. The present study was executed to estimate the seroprevalence and molecular detection of leptospirosis in and around Bangalore, Karnataka. Prevalence on the basis of Age, Gender, Breed and Season was estimated via Rapid test in conjunction with the molecular detection via PCR. Out of 100 samples screened 70 (70%) cases and 59 (59%) cases were positive by Rapid test and PCR respectively. Higher seroprevalence was recorded in the age group of 1-3 years, breed wise in Non-descripts followed by Labrador Retrievers and gender wise in Male dogs and season wise in South-west monsoon and Summer season.
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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 | 0.001 | 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".