Sensitivity of Cattle Genetic Types to Tick Species Infestations at the Yamoussoukro Dairy Station
Bibliographic record
Abstract
Ticks are a significant impediment to the establishment of cattle production units in West Africa, notably in Côte d'Ivoire. A research was conducted at the Yamoussoukro Dairy Station from April to July 2020 to help in the battle against ticks and tick-borne diseases. A total of 1560 ticks were collected from cattle at the indicated station, subdivided into three genera (Boophilus, Amblyomma, and Hyalomma) and four species (R. (B) microplus, R. (B) annulatus, A. variegatum, and H. truncatum). R. (B) microplus was the most prevalent species (48.08 %). The most common species (63.40 %), the most infesting (3.87 ticks/cattle), and the most active (6.10 ticks/cattle) among the cattle at the station were R. (B) microplus. The most common, most numerous (1.63 and 1.62 ticks/cattle), and most active (3.18 ticks/cattle) species among the N'Dama and Zebu were R. (B) microplus (52.73 %) and A. variegatum (50.91 %). The species R. (B) microplus and R. (B) annulatus infest Metis animals significantly. These species have the highest incidence of infection and severity of an attack. In terms of parasite intensity, there was a positive association between R. (B) microplus and R. (B) annulatus.
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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) | 0.001 | 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".