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Record W2087637376 · doi:10.1086/528812

Vancomycin-Resistant Enterococci in Canada: Results from the Canadian Nosocomial Infection Surveillance Program, 1999–2005

2008· article· en· W2087637376 on OpenAlexaffabout
Marianna Ofner-Agostini, Bree Johnston, Andrew E. Simor, John M. Embil, Anne Matlow, Michael R. Mulvey, Debbie Ormiston, John Conly

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2008
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsFoothills Medical CentreHospital for Sick ChildrenHealth Sciences CentreQueen Elizabeth II Health Sciences CentreSunnybrook Health Science CentrePublic Health Agency of Canada
Fundersnot available
KeywordsVancomycin-Resistant EnterococciCarriageMedicineIncidence (geometry)EnterococcusVancomycin-resistant EnterococcusEmergency medicineVancomycinInternal medicineAntibioticsMicrobiologyStaphylococcus aureusBacteriaBiology

Abstract

fetched live from OpenAlex

Surveillance for vancomycin-resistant enterococci (VRE) in sentinel Canadian hospitals has been conducted since 1999. From 1999 to 2005, the rate of VRE detection increased from 0.37 to 1.32 cases per 1,000 patients admitted, and the rate of VRE infection increased from 0.02 to 0.05 cases per 1,000 patients admitted. Thirty-three percent of all patients with VRE detected that were reported during 1999-2005 were identified in 2005, with increases seen in all regions of Canada. Although the incidence rate of VRE carriage in Canada is increasing, it remains very low.

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)0.002
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 score0.024
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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

Citations33
Published2008
Admission routes2
Has abstractyes

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