Relative importance of wildlife and livestock transmission route of brucellosis in southwestern Uganda
Bibliographic record
Abstract
The data in brief provides a descriptive summary of the field data collected using Eco-health approach in order to support local effort aimed at creating information base for taking evidence-based decisions, especially in regard to wildlife conservation outside protected area and range resource management. The data were collected between June 2012 and July 2014 on a range of issues including wild animals, livestock, household income and cost of diseases control in cattle. In a nutshell the data article shows spatial pattern of a declining brucellosis prevalence in cattle linked to animal population density with increasing distance away from the Lake Mburo National Park (LMNP) boundary in southwestern Uganda. It is the trend of animal distribution in private land that the pastoralist communities perceived as influencing economic losses associated with diseases affecting cattle production. The pastoralists strongly believe that wild ungulates grazing with cattle outside the park on a daily basis present a potential risk of disease transmission which adversely affects their cherished source of livelihood. This article refers to "Brucellosis in cattle and micro-scale spatial variability of pastoral household income from dairy production in south western Uganda. Acta tropica", Acta Tropica, 2018.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".