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Record W2059463098 · doi:10.1089/vbz.2011.0705

<i>Toxoplasma gondii</i> in Circumpolar People and Wildlife

2011· review· en· W2059463098 on OpenAlexaff
Stacey A. Elmore, Emily Jenkins, Kathryn P. Huyvaert, Lydden Polley, J. Jeffrey Root, Chester G. Moore

Bibliographic record

VenueVector-Borne and Zoonotic Diseases · 2011
Typereview
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCircumpolar starToxoplasma gondiiWildlifeGeographyFisheryEcologyBiologyOceanographyImmunologyGeology

Abstract

fetched live from OpenAlex

Despite extensive worldwide surveillance in populations of both people and wildlife, relatively little is known about Toxoplasma gondii ecology in the circumpolar north. Many northern animals and people demonstrate exposure to T. gondii, but the apparent low densities of domestic or wild felids suggest that additional transmission mechanisms are responsible for T. gondii persistence in high latitudes, whether remote source (from another region), vertical, or dietary. People in these northern communities who practice subsistence hunting might have an increased infection risk due to traditional food preparation techniques and frequent handling of wild game. Recent advances in T. gondii genotyping, understanding of host-parasite relationships, and increased human and wildlife surveillance will help to address knowledge gaps about parasite evolution, distribution, and abundance throughout the Arctic and Subarctic.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.027
GPT teacher head0.279
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations47
Published2011
Admission routes1
Has abstractyes

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