MétaCan
Menu
Back to cohort
Record W1978367262 · doi:10.1089/fpd.2007.0054

Genetic Detection of <i>Campylobacter lanienae</i> in Fecal Matter and Stored Manure from Swine and Dairy Cattle

2008· article· en· W1978367262 on OpenAlexaff
Évelyne Guévremont, Valérie Normand, Lisyanne Lamoureux, Caroline Côté

Bibliographic record

VenueFoodborne Pathogens and Disease · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsInstitut de Recherche et de Développement en AgroenvironnementAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyCampylobacterManure16S ribosomal RNAAmpliconDairy cattleFecesGenBankMicrobiologyVeterinary medicineRibosomal RNAFood sciencePolymerase chain reactionBiotechnologyGeneBacteriaGeneticsEcology

Abstract

fetched live from OpenAlex

Tracking sources of contamination is an issue related to food safety. In a preliminary study conducted to evaluate the distribution of thermophilic Campylobacter in the environment surrounding dairy cattle and swine production, a number of Campylobacter lanienae were directly detected by PCR. The amplicons came from dairy cows and pig fecal samples, as well as from stored manure. DNA sequencing of a 360-bp fragment of C. lanienae 16S rRNA gene was performed. Alignment of sequences confirmed the bacterial identification as sequences shared 99-100% homology with C. lanienae 16S rRNA gene sequences available in GenBank. Interestingly, bioinformatics analyses also revealed two different genetic clusters depending on the animal reservoir. More samples and other molecular techniques need to be tested in order to characterize and evaluate the distribution of this microorganism in the agri-food chain.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.187
Teacher spread0.175 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueFoodborne Pathogens and DiseaseSame topicSalmonella and Campylobacter epidemiologyFrench-language works237,207