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Why Has Methicillin-Resistant Staphylococcus aureus Become Such a Successful Pathogen in Adults?

2010· article· en· W4250165541 on OpenAlexaffabout

Bibliographic record

VenueInfectious Diseases in Clinical Practice · 2010
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsSt Mary's Hospital
Fundersnot available
KeywordsMedicineStaphylococcus aureusPathogenClinical microbiologyMicrobiologyMethicillin-resistant Staphylococcus aureusUniversity hospitalFamily medicineImmunologyBacteriaBiology

Abstract

fetched live from OpenAlex

Staphylococcus aureus is a pathogen that has caused human disease for centuries, and despite efforts to control it via modern antibiotics, this organism has persisted and continues to cause major clinical problems throughout the world. A remarkably versatile pathogen, it has virulence mechanisms that enable it to cause a broad variety of serious infections in man, and it has the ability to acquire new exogenous genes, which make it possible for it to adapt to a variety of changing environmental conditions and to modulate its pathogenicity. It can establish a symptomatic carriage that permits widespread dissemination. It has shown a remarkable ability to develop resistance to the major antibiotics directed against it including the penicillins. The development of methicillin resistance in staphylococci has resulted in organisms that continue to plague patients in institutionalized settings and elsewhere. More recently, there has been a worldwide outbreak (currently most prominent in the United States) of infections due to community-associated methicillin-resistant staphylococci. The factors that have made it possible for this to occur are defined in this article.

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)0.001
metaresearch head score (Gemma)0.006
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: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.378
Teacher spread0.347 · 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
GenreReview

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

Citations0
Published2010
Admission routes2
Has abstractyes

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