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Record W7019717728

INFESTASI CAPLAK Rhipicephalus sanguineus PADA ANJING DI UNIT SATWA K-9 DIREKTORAT SAMAPTA BHAYANGKARA KEPOLISIAN DAERAH JAWA TIMUR

2018· dissertation· en· W7019717728 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitas Airlangga Repository (Universitas Airlangga) · 2018
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsRhipicephalus sanguineusNymphInfestationTickIxodes ricinusBreed
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.008
GPT teacher head0.217
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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