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Record W3108759401 · doi:10.1089/vbz.2020.2665

Flea Presence and Abundance Are not Predictors of <i>Bartonella tribocorum</i> Carriage in Norway Rats ( <i>Rattus norvegicus</i> ) from an Underserved Neighborhood of Vancouver, Canada

2020· article· en· W3108759401 on OpenAlexafffundabout
Chelsea G. Himsworth, Kaylee A. Byers, Tammi Whelan, Ying Bai, Michael Kosoy

Bibliographic record

VenueVector-Borne and Zoonotic Diseases · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBartonella species infections research
Canadian institutionsGovernment of British ColumbiaUniversity of British ColumbiaCanadian Wildlife FederationMinistry of Health
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsFleaBartonellaCarriageBiologyVeterinary medicineZoologyXenopsyllaAbundance (ecology)EcologyVirologyGeographyMedicine

Abstract

fetched live from OpenAlex

Urban Norway rats ( Rattus norvegicus ) carry pathogenic Bartonella spp. that are transmitted among rats and from rats to people through arthropod vectors, particularly fleas. There is marked temporospatial variation in Bartonella spp. carriage among Norway rats in Vancouver, Canada, and we investigated whether this variation is associated with flea presence or abundance. Bartonella triborocum was isolated from 96/370 (35%) rats and 211 (57%) rats had fleas with an average of one flea per rat. All fleas were identified as Nosopsyllus fasciatus . There was no significant relationship between B. tribocorum carriage and flea presence or abundance, suggesting that, in contrast to other rat-associated zoonoses transmitted by fleas ( e.g. , Yersinia pestis ) flea indices may not be informative for understanding the ecology of Bartonella spp. in rats, particularly for N. fasciatus .

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.223
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; a candidate call from one teacher head, not a consensus.

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

Citations3
Published2020
Admission routes3
Has abstractyes

Explore more

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