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Record W4414347200 · doi:10.1093/jme/tjaf129

Molecular detection of <i>Rickettsia felis</i> in <i>Dermacentor albipictus</i> from Mississippi

2025· article· en· W4414347200 on OpenAlexaboutno aff
Jerome Goddard, Alyssa N. Snellgrove, Sharon Sims, Richard G. Robbins, Wendy C. Varnado

Bibliographic record

VenueJournal of Medical Entomology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAmpliconTaqManTickSYBR Green IAnaplasmataceaeTick-borne diseasePolymerase chain reactionVector (molecular biology)

Abstract

fetched live from OpenAlex

Dermacentor albipictus (Packard), the winter tick, is a one-host tick often found in high numbers on horses, moose, elk, and deer in the northern United States and parts of Canada. In Mississippi, there have been very few collections of D. albipictus. Herein we report the collection and molecular screening of 5 male specimens and 3 nymphs of the winter tick for rickettsial organisms. Broad PCR screening using a PanRickettsia TaqMan PCR assay targeting a portion of the 23 s gene was utilized, and a family-wide Anaplasmataceae SYBR real-time PCR assay was chosen for initial screening of tick eluates. PanRickettsia PCR-positive samples were then amplified using a conventional PCR targeting the citrate synthase (gltA) gene for species identification. One resultant amplicon was 99.75% identical to Rickettsia felis DNA. This is the first report of R. felis in the winter tick, D. albipictus.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.006
GPT teacher head0.267
Teacher spread0.260 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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