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Record W7019789485

An investigation of class 1 integrons and integrase gene in Escherichia coli and Mannheimia haemolytica from beef cattle in Western Canada

2011· dissertation· en· W7019789485 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2011
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsIntegronIntegraseGeneBeef cattleCloning (programming)Escherichia coli
DOInot available

Abstract

fetched live from OpenAlex

This study examined and characterized class 1 integrons and class 1 integrase-associated genetic elements in 'Escherichia coli' and 'Mannheimia haemolytica' from Canadian beef cattle. Both 'E. coli' and 'M. haemolytica' isolated from beef cattle on four feedlots in Alberta Canada were screened for the presence of the class I integrase gene ('intI1'). All isolates which possessed this gene were further characterized to determine if they contained a typical class 1 integron or an incomplete integron, dubbed 'lonely integrase'. A variety of gene cassettes, gene arrays and variants were identified in 'E. coli'. The genetic environment surrounding the 'lonely integrase' was characterized using cloning and PCR. The 'lonely integrase' structure was shown to contain a duplicated class 1 integrase gene and to be associated with both 'tet'(M) and 'tet'(A). This same structure was observed in the majority of the isolates possessing a 'lonely integrase' .

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.210
Teacher spread0.200 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

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