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Record W288222615 · doi:10.2376/0003-925x-59-164

Untersuchungen zum Campylobacter-Eintrag in Mastgeflügelherden auf ausgewählten Betrieben in der Schweiz.

2008· article· de· W288222615 on OpenAlexaff
Kathrin Daniela Scheu, Michaela Keel, Franz Renggli, Roger Stephan, Claudio Zweifel

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2008
Typearticle
Languagede
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsFlockBroilerCampylobacterBiologyVeterinary medicineGenotypeGenotypingCampylobacter jejuniSerotypeFlagellinPulsed-field gel electrophoresisMultilocus sequence typingAnimal scienceMicrobiologyMedicineBacteriaGenetics

Abstract

fetched live from OpenAlex

On 15 farms, broiler flocks, other farm animals, and the environment were examined during consecutive rearing periods for Campylobacter (C.). Of the 5154 samples, 311 (6%) from 14 farms were Campylobacter positive by culture. Amongst them, 228 tested positive for C. jejuni and 92 for C. coli. Positive samples originated from broilers, the broiler houses, cattle, pigs, bantams, laying hens, a horse, and a mouse. Genotyping using flagellin gene typing (flaA-RFLP), macrorestriction profiling with PFGE, and AFLP analysis allowed the following conclusions: (1) On eight farms, matching genotypes were isolated from broiler flocks and other farm animals (cattle, pigs, or laying hens); (2) indications of persistent contamination of the broiler house were evident on four farms where matching genotypes were detected in consecutive broiler flocks, but not concurrently in other samples; (3) especially on farms with extensive outdoor flocks, multiple genotypes were found within a rearing period; (4) some genotypes proofed to be identical across different farms. These results emphasize the importance of other farm animals on poultry farms as reservoirs and risk factors for broiler flock colonization with Campylobacter and retrieve the role of personnel moving between different farm areas as potential vectors. However, certain other niches or vectors may not be excluded on some farms.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.024
GPT teacher head0.204
Teacher spread0.181 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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