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Record W2200703461 · doi:10.1155/2001/826915

Infection Control in Acute Care Facilities: Evidence‐Based Patient Safety

2001· article· en· W2200703461 on OpenAlexaff
L E Nicolle

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2001
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsOutbreakInfection controlIsolation (microbiology)MedicineAcute careIntensive care medicineAntimicrobialMicrobiologyVirologyHealth careBiologyEconomic growth

Abstract

fetched live from OpenAlex

Infection control in acute care facilities has a noble history. These programs were born of the nosocomial penicillin‐resistant Staphylococcus aureus outbreaks in the post‐World War II era. Over the past four decades, an impressive body of evidence has emerged that documents the effectiveness of infection control programs and systematically evaluates specific program components. Fumigation, tacky floor mats, shoe covers and ′reverse′ isolation have disappeared. They are replaced by focused surveillance programs, prophylactic antimicrobial therapy, outbreak investigation and control, routine barrier practices and molecular typing of organisms for epidemiological analysis.

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)0.035
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.085
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.252
Teacher spread0.244 · 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 designNot applicable
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

Citations4
Published2001
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicSurgical site infection preventionFrench-language works237,207