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Isolation of Methicillin-Resistant Staphylococcus aureus from the Environment in a Veterinary Teaching Hospital

2004· article· en· W2023418352 on OpenAlexaffabout
J. Scott Weese, Tara DaCosta, Lea Button, Kathryn Goth, Michael F. Ethier, Kendra Boehnke

Bibliographic record

VenueJournal of Veterinary Internal Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineIsolation (microbiology)Methicillin-resistant Staphylococcus aureusVeterinary medicineStaphylococcus aureusInfection controlTransmission (telecommunications)ContaminationCluster (spacecraft)Staphylococcal infectionsMicrobiologyIntensive care medicineBacteriaBiologyEcology

Abstract

fetched live from OpenAlex

After recognition of a cluster of methicillin-resistant Staphylococcus aureus (MRSA) infection in horses and humans at the Ontario Veterinary College Veterinary Teaching Hospital, environmental contamination with MRSA was evaluated. A total of 260 environmental surfaces were sampled during periods when MRSA-infected horses were hospitalized, and MRSA was isolated from 25/260 sites (9.6%). The most commonly contaminated sites were stalls housing MRSA-positive horses, but other stalls, medical equipment, personal items, and equine restraint devices also were contaminated. The role of the environment in the transmission of MRSA infection to horses or humans is unclear. However, relatively widespread contamination of the hospital environment, as apparently occurs when infected horses are hospitalized, suggests that the environment may be an important source of MRSA infection. This possibility must be taken into consideration when designing infection control and disinfection protocols.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.308
Teacher spread0.280 · 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 designBench or experimental
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

Citations103
Published2004
Admission routes2
Has abstractyes

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