Prevalence and spatial analysis of antileptospiral agglutinins in dairy cattle - Microregion of Sete Lagoas, Minas Gerais, 2009/2010
Bibliographic record
Abstract
The aim of this study was to evaluate the seroprevalence of leptospirosis in the dairy herds from Minas Gerais, Brazil, during the years 2009 and 2010. A total of 2,915 serum samples were collected from the lactating cows of 151 properties in eleven municipalities located in the Sete Lagoas region. The Microscopic Agglutination Test was used to detect antileptospiral agglutinins. An individual animal prevalence of 20.7% (95% CI = 17.1% - 24.3%) and a herd prevalence of 80.8% (95% CI = 73.8% = 87.7%) were determined. The most prevalent serovars were hardjoprajitno at 19.4%; hardjoprajitnostrain Norma at 17.4%; and hardjo-bovis at 17.4%. These results show the significance of the hardjo serovar in bovine leptospirosis cases in Minas Gerais.
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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 | 0.001 |
| 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) | 0.000 | 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 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".