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Record W2141781564 · doi:10.4269/ajtmh.2012.12-0273

Sentinel Surveillance for Zoonotic Parasites in Companion Animals in Indigenous Communities of Saskatchewan

2012· article· en· W2141781564 on OpenAlex
Janna M. Schurer, Janet E. Hill, Champika Fernando, Emily Jenkins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Journal of Tropical Medicine and Hygiene · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIndigenousVeterinary medicineGeographyBiologyMedicineEcology

Abstract

fetched live from OpenAlex

Indigenous communities may have increased risk of exposure to zoonotic parasites, including Echinococcus granulosus, Toxocara canis, Toxoplasma gondii, Diphyllobothrium spp., and Giardia duodenalis, for which dogs may serve as sentinels for or sources of human infection. Canid fecal samples were collected from dogs and the environment in five indigenous communities across Saskatchewan and Alberta (N = 58, 62, 43, 66, and 25). Parasites in individual fecal samples were quantified using fecal flotation and a commercial immunofluorescent antibody test for Giardia and Cryptosporidium. Overall, the prevalence of canine intestinal parasitic infection was 20-71%, which is 5-16 times higher in indigenous communities than a nearby urban center in Saskatchewan. The overall prevalences of T. canis, Diphyllobothrium, and taeniid eggs in dog feces were, respectively, 11.8%, 4.9%, and 1.2% in our study compared with 0-0.2% in urban dogs. Giardia cysts present in 21% of samples were identified as zoonotic genotype Assemblage A.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.263

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 head0.018
GPT teacher head0.292
Teacher spread0.273 · 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