MétaCan
Menu
← Back to cohort
Record W2971458712 · doi:10.1139/gen-2019-0100

Molecular epidemiology of carbapenem-resistance plasmids using publicly available sequences

2019· article· en· W2971458712 on OpenAlexvenueno aff
Galen Card, Brandon D. Pickett, Perry G. Ridge, Richard A. Robison

Bibliographic record

VenueGenome · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of Health
KeywordsPlasmidBiologyRepliconCarbapenemGeneticsMolecular epidemiologyMicrobiologyGeneGenotypeAntibiotics

Abstract

fetched live from OpenAlex

Carbapenem-resistant bacteria have quickly become a worldwide concern in nosocomial infections. Of the seven known carbapenemases, four have been shown to be particularly problematic: KPC, NDM, IMP, and VIM. To date, many local and species- or carbapenemase-specific epidemiological studies have been performed, which often focus on the organism itself. This report attempts to perform an inclusive (encompass both species and carbapenemase) epidemiologic study using publicly available plasmid sequences from NCBI. In this report, the gene content of these various plasmids has been characterized, replicon types of the plasmids identified, and the global spread and species promiscuity of the plasmids analyzed. Additionally, support to several groups targeting plasmid maintenance and transfer mechanisms to slow the spread of resistance plasmids is given.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.265
Teacher spread0.242 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGenome→Same topicAntibiotic Resistance in Bacteria→French-language works237,207→