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Record W2117901410 · doi:10.1086/340126

<i>Lactobacillus fermentum</i>RC‐14 Inhibits<i>Staphylococcus aureus</i>Infection of Surgical Implants in Rats

2002· article· en· W2117901410 on OpenAlexaff
Bing Siang Gan, Juan Kim, Gregor Reid, Peter A. Cadieux, Jeffrey C. Howard

Bibliographic record

VenueThe Journal of Infectious Diseases · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsWestern UniversityHand and Upper Limb ClinicLawson Health Research Institute
Fundersnot available
KeywordsLactobacillus fermentumStaphylococcus aureusMicrobiologyMedicineIncidence (geometry)Staphylococcal infectionsBacteriaBiology

Abstract

fetched live from OpenAlex

Staphylococcus aureus is a common cause of community and hospital-acquired infections. Moreover, the clinical impact of S. aureus is on the rise because of the global increase in the incidence of multidrug-resistant strains and its growing prevalence as a major cause of surgical infections. As a result, there is a pressing need to identify new antistaphylococcal agents and preventative strategies that will help in the management of these types of infections. This report describes the successful use of a probiotic, Lactobacillus fermentum RC-14, and its secreted biosurfactant to inhibit surgical implant infections caused by S. aureus. L. fermentum RC-14 and its secreted biosurfactant both significantly inhibited S. aureus infection and bacteria adherence to surgical implants.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.309
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.211
Teacher spread0.199 · 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 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

Citations159
Published2002
Admission routes1
Has abstractyes

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