INFESTASI CAPLAK Rhipicephalus sanguineus PADA ANJING DI UNIT SATWA K-9 DIREKTORAT SAMAPTA BHAYANGKARA KEPOLISIAN DAERAH JAWA TIMUR
Bibliographic record
Abstract
The research aimed to identify the pattern and level of infestation Rhipicephalus sanguineus tick in dogs by these following parameters: dog’s breed and body regions of the dog’s. Three out of twenty seven dogs in K-9 Animal Unit Of Directorate Samapta Bhayangkara East Java Regional Police were infested by ticks. The ticks collected from the dog’s body then put into pots containing 70% alcohol and then labeled. The label consisted of dog’s breeds, sex, and body’s region then identified by R. sanguineus ticks stage. The data was collected and then analyzed using Correspondance Analytic. The result showed the following pattern of ticks infestation: Labrador Retriever were infested in the head-neck region and German Shepherd in the head-neck and back region. A lot of the nymph stage were found in the head-neck region meanwhile the adult stage were found in the back region. The prevalence of dogs infested by ticks were 11% of the population. The degree of infestation of tick R. sanguineus in dogs based on each regiones of the dog’s body, the lowest is on the head-neck, whereas the highest degree of infestation is on a back area with a total of 21 ticks of nymph and adult stage.
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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 | 0.000 |
| 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) | 0.003 | 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".