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Record W4321454185 · doi:10.1089/mdr.2022.0123

Genetic and Phenotypic Characterization of the First Canadian Case of Ambler Class A Carbapenemase FRI-8

2023· article· en· W4321454185 on OpenAlexafffundabout
Laura Mataseje, Florence Doualla‐Bell, David A. Boyd, Ken Fakharuddin, Hector Felipe Garcia Jeldes, Valerie Plante, Marie-Claude Beaudoin, Alexandre Godbout, S.S. Wong, Judith Fafard, Michael R. Mulvey

Bibliographic record

VenueMicrobial Drug Resistance · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsSte. Anne's HospitalCentre hospitalier de l'Université LavalPublic Health Agency of Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsEnterobacter cloacaeCarbapenemBiologyMicrobiologyWhole genome sequencingPlasmidDNA sequencingKlebsiella pneumoniaeEnterobacterPhenotypeGeneGeneticsGenomeComputational biologyEscherichia coliAntibiotics

Abstract

fetched live from OpenAlex

This study investigated the mechanism of carbapenem resistance in an Enterobacter cloacae complex positive by the modified carbapenem inactivation method (mCIM) but negative by the Rosco Neo-Rapid Carb Kit, β CARBA, and conventional PCR for common carbapenemase genes (KPC, NDM, OXA-48, IMP, VIM, GES, and IMI/NMC). Using whole genome sequencing (WGS) data we confirmed the identification of Enterobacter asburiae (ST1639) and the presence of bla FRI-8 located on a 148kb IncFII(Yp) plasmid. This is the first occurrence of a clinical isolate harboring the FRI-8 carbapenemase and the second occurrence of FRI in Canada. This study highlights the need to use both WGS and phenotypic screening methods for detection of carbapenemase-producing strains if we consider the growing diversity of carbapenemases.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.198
Teacher spread0.193 · 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 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

Citations7
Published2023
Admission routes3
Has abstractyes

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