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Record W4366416046 · doi:10.3390/antibiotics12040778

Enterococcal Urinary Tract Infections: A Review of the Pathogenicity, Epidemiology, and Treatment

2023· review· en· W4366416046 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAntibiotics · 2023
Typereview
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of TorontoCentre Hospitalier de l’Université de MontréalUniversity Health Network
Fundersnot available
KeywordsEnterococcusAntibiotic resistanceEpidemiologyMicrobiologyAntibioticsBiologyPathogenicityPathogenicity islandMedicineVirulenceInternal medicine

Abstract

fetched live from OpenAlex

Urinary tract infections (UTIs) are among the most common causes of infections worldwide and can be caused by numerous uropathogens. Enterococci are Gram-positive, facultative anaerobic commensal organisms of the gastrointestinal tract that are known uropathogens. Enterococcus spp. has become a leading cause of healthcare associated infections, ranging from endocarditis to UTIs. In recent years, there has been an increase in multidrug resistance due to antibiotic misuse, especially in enterococci. Additionally, infections due to enterococci pose a unique challenge due to their ability to survive in extreme environments, intrinsic antimicrobial resistance, and genomic malleability. Overall, this review aims to highlight the pathogenicity, epidemiology, and treatment recommendations (according to the most recent guidelines) of enterococci.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review
Teacher disagreement score0.831
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
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 head0.152
GPT teacher head0.418
Teacher spread0.266 · 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