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Seasonal abundance and activity of the tick <i>Dermacentor silvarum</i> in northern China

2010· article· en· W2073331802 on OpenAlexfundno aff
Zhijun Yu, Hongyuan Zheng, Xiaolong Yang, Zhili Chen, D. WANG, Minhui Hao, Yihao Yang, Junzhe Liu

Bibliographic record

VenueMedical and Veterinary Entomology · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
FundersChina Meteorological AdministrationUniversity of AlbertaGeorgia Southern University
KeywordsNymphBiologyIxodidaeOverwinteringTickLarvaAcariPopulationZoologyDermacentorAbundance (ecology)VoltinismEcologyVeterinary medicineDemography

Abstract

fetched live from OpenAlex

Studies on the seasonal abundance and activity of larvae, nymphs and adults of Dermacentor silvarum (Ixodida: Ixodidae), both on and off the host, were carried out over a 2-year period from February 2008 to January 2010 in northern China. During the study period, feeding ticks were removed weekly from domestic sheep and free-living ticks were collected weekly by flag-dragging in four different habitat types. Rodents were captured and inspected for immature ticks from June to September 2008. The results of this study suggest that the ticks mainly reside in shrubs and complete only one generation per year with sequential seasonal distribution and little overlap between the activity of the larvae and nymphs. Adults were most prevalent from late February to late May and peaked in number in mid-April. Larvae were found from early June to early September and peaked in number in mid-July. Nymphs were mainly distributed from late June to late September and peaked in mid-August. Adult and nymphal D. silvarum were found primarily on the ears of sheep, but no larvae were found on sheep. Additionally, an overwintering male adult population was detected on sheep after October, but no free-living adults were found by dragging.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.249
Teacher spread0.241 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations35
Published2010
Admission routes1
Has abstractyes

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