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Record W791511507 · doi:10.21423/aabppro20074613

Campylobacter jejuni in the Alberta Beef Industry

2007· article· en· W791511507 on OpenAlexaffabout
Sherry J. Hannon, Brenda Allan, Cheryl Waldner, Margaret L. Russell, Hugh G.G. Townsend, Andrew Potter

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversity of CalgaryUniversity of Saskatchewan
Fundersnot available
KeywordsCampylobacter jejuniCampylobacteriosisCampylobacterFeedlotFecesEnteritisBiologyBeef cattlePathogenic bacteriaDiarrheal diseaseOutbreakMicrobiologyDiarrheaVeterinary medicineBacteriaVirologyMedicineEcology

Abstract

fetched live from OpenAlex

Campylobacter jejuni is a bacterium known to cause enteritis in people. In Alberta, campylobacteriosis is the most common foodborne disease and the third most common reportable disease after chicken pox and hepatitis C. Poultry are considered to be a primary source of human-pathogenic C. jejuni; however other domestic animals species may be important sources or reservoirs of this bacterium. The purpose of this project was to estimate the prevalence of Campylobacter species in feedlot cattle feces and retail ground beef in southern Alberta, and to identify C. jejuni isolates for future molecular characterization (DNA microarray).

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 score0.038
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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

Citations1
Published2007
Admission routes2
Has abstractyes

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