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Record W7042218136

Occurrence of antimicrobial resistance in selected bacteria in healthy dogs and cats presented to private veterinary clinics in southern Ontario

2004· dissertation· en· W7042218136 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2004
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsAntimicrobialAntibiotic resistanceCarriageCATSPenicillinDrug resistanceAntibiotics
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an investigation of the prevalence and risk factors associated with antimicrobial resistance in 'Escherichia coli', extended spectrum [beta]-lactamase (ESBL) 'E. coli', 'Salmonella ' and methicillin-resistant 'Staphylococcus aureus' (MRSA) and 'Staph. intermedius' (MRSI) in companion animals. Healthy dogs and cats without recent exposure to antimicrobials were enrolled from private veterinary clinics. Five isolates of 'E. coli' were recovered from each animal, but no isolates of 'Salmonella', MRSA/MRSI or ESBL-'E. coli' were recovered. A low prevalence of resistance was observed to the antimicrobials tested, yet multiple drug-resistance was observed. Three isolates of CMY-2 'E. coli' were recovered. Carriage of antimicrobial resistant/intermediately susceptible 'E. coli' was associated with consumption of raw meat, raw bones and pig ear treats, and antimicrobial therapy, in particular with short acting penicillin and enrofloxacin. This study is the first systematic investigation of the occurrence of antimicrobial resistance in commensal 'E. coli' isolated from dogs and cats.

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)0.001
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 score0.741
Threshold uncertainty score0.515

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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
Published2004
Admission routes1
Has abstractyes

Explore more

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