MétaCan
Menu
Back to cohort
Record W2315009144 · doi:10.1017/s0950268810002906

Factors related to<i>Campylobacter</i>spp. carriage in client-owned dogs visiting veterinary clinics in a region of Ontario, Canada

2011· article· en· W2315009144 on OpenAlexafffundabout
E. K. Leonard, David L. Pearl, Nicol Janecko, J. Scott Weese, Richard J. Reid‐Smith, Andrew S. Peregrine, Rita Finley

Bibliographic record

VenueEpidemiology and Infection · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsPublic Health Agency of CanadaUniversity of Guelph
FundersOVC Pet TrustPublic Health AgencyPublic Health Agency of Canada
KeywordsCarriageCampylobacteriosisCampylobacterVeterinary medicineMedicineRisk factorOdds ratioLogistic regressionPopulationCampylobacter jejuniInternal medicineEnvironmental healthBiologyPathology

Abstract

fetched live from OpenAlex

From July 2008 until May 2009, 240 client-owned pet dogs from seven veterinary clinics in the Region of Waterloo, Ontario, Canada participated in a study to determine pet-related management factors that may be associated with the presence of Campylobacter spp. in dogs. The prevalence of Campylobacter spp. carriage in our study population of pet dogs was 22%, with 19% of the dogs positive for C. upsaliensis, and 3% positive for C. jejuni. A significant risk factor from multivariable logistic regression models for both Campylobacter spp. and C. upsaliensis carriage was having homemade cooked food as the dog's diet or added to its diet, and a significant sparing factor for both models was treatment with antibiotics in the previous month. Increasing age of the dog decreased the odds of Campylobacter spp. and C. upsaliensis carriage. Based on the high prevalence of Campylobacter, and specifically C. upsaliensis, further research concerning pet dogs as a risk factor for campylobacteriosis in humans is warranted.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.281
Teacher spread0.194 · 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.

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

Citations30
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueEpidemiology and InfectionSame topicSalmonella and Campylobacter epidemiologyFrench-language works237,207