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Record W6959484880 · doi:10.1051/vetres:2005045/pdf

Presence of Escherichia coli carrying the EAST1 toxin gene in farm animals

2006· article· en· W6959484880 on OpenAlexaff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsCegep de Saint Hyacinthe
Fundersnot available
KeywordsEnteroaggregative Escherichia coliEscherichia coliToxinOutbreakGeneEnterobacteriaceaeStrain (injury)

Abstract

fetched live from OpenAlex

Enteroaggregative Escherichia coli (EAEC) heat-stable toxin 1 (EAST1) is a small toxin of proteic nature. The reference strain producing this toxin was originally detected in the stools of a diarrheic Chilean child. Today, we know that EAST1 is not solely associated with EAEC but also with many other diarrheic E. coli families. Some studies have established the role of EAST1 in human outbreaks of diarrhea. In addition, isolates from farm animals were shown, more recently, to carry the astA gene coding for EAST1. However, the relation between the presence of EAST1 and disease is not conclusive. In this article, the current state of the knowledge on the presence and probable role of EAST1 in farm animal diseases is reviewed and discussed.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0010.000
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 head0.016
GPT teacher head0.217
Teacher spread0.202 · 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

Citations6
Published2006
Admission routes1
Has abstractyes

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