Seroprevalence study on salmonellosis in apparently healthy dogs by enzyme-linked immunosorbent assay
Bibliographic record
Abstract
Sera samples (575) were collected from 17 breeds of apparently healthy dogs from different parts of the country and tested for the presence of antibodies against cytotoxin-I antigen ELISA from S. Weltevreden (BM1613) to know the seroprevalence of salmonellosis. The overall seroprevalence was 58.08%. Place-wise the highest seroprevalence was in sera samples collected from Dehradun (92.00%), while breed-wise maximum sera samples of Labrador (81.58%) showed the presence of anti- cytotoxin-I antibodies of salmonella. The difference of seroprevalence of salmonellosis between 2 sexes was nonsignificant and the age group of 7–9 years and above showed the highest serprevalence (63.37%). Our results showed a high seroprevalence of salmonellosis in dogs, which indicates a serious threat to human health.
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.
How this classification was reachedexpand
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 | 0.005 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".