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Record W2127075514 · doi:10.1086/505093

Polymerase Chain Reaction Identification of Coagulase-Negative Staphylococci and of Strain Diversity and Spread of <i>Staphylococcus epidermidis</i> in a Major Medical Center in Lebanon

2006· article· en· W2127075514 on OpenAlexaff
Inaya M. Abdallah, George E Araj, Ghassan M. Matar, George Abdelnour, Marwan Uwaydah, Alexander M. Abdelnoor

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2006
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsHôpital Notre-Dame
Fundersnot available
KeywordsStaphylococcus epidermidisPolymerase chain reactionMicrobiologyCoagulaseRAPDStaphylococcusBiologyconsStrain (injury)Genetic diversityGeneticsBacteriaMedicineStaphylococcus aureusGene

Abstract

fetched live from OpenAlex

A 2-step polymerase chain reaction (PCR) assay and random amplification of polymorphic DNA (RAPD) analysis, respectively, were assessed to identify coagulase-negative staphylococci organisms to the species level and to determine the strain diversity and spread of Staphylococcus epidermidis, the most frequently isolated species, in a medical center in Beirut, Lebanon. Our data indicated that PCR was faster and was more efficient in identifying S. epidermidis isolates than is conventional biochemical testing. RAPD analysis have shown that S. epidermidis strains were scattered across the different clinical services, demonstrating various clusters of infection in the medical center.

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)0.002
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 score0.073
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.271
Teacher spread0.259 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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