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Record W2888013574 · doi:10.3855/jidc.10326

Bacteremia in a human caused by an XDR strain of Pseudomonas fulva

2018· article· en· W2888013574 on OpenAlexaff
Fakhur Uddin, Kerry Roulston, Timothy D. McHugh, Taseer Ahmed Khan, Muhammad Sohail

Bibliographic record

VenueThe Journal of Infection in Developing Countries · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsEston College
FundersHigher Education Commision, PakistanUniversity College London
KeywordsBacteremiaMicrobiologyPolymerase chain reactionBiologyStrain (injury)Pseudomonas aeruginosaPhenotypePathogenHuman pathogenOpportunistic pathogenPseudomonasBacteriaAntibioticsGeneGenetics

Abstract

fetched live from OpenAlex

This is the first report from Pakistan of a case of bacteremia in a human due to P. fulva, an opportunistic infection with increased risk of a drug resistant phenotype. P. fulva was isolated from blood of a 45 years male admitted in surgical ICU. Isolate was identified by the MALDI-TOF-MS and was extensively drug resistant (XDR) strain. Isolate was found negative for metallo β lactamase (MBL) and extended spectrum β lactamase (ESBL) types by phenotypic and polymerase chain reaction (PCR) assays. It was concluded that P. fulva is an emerging opportunistic pathogen.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.286
Teacher spread0.274 · 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 designCase report
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

Citations11
Published2018
Admission routes1
Has abstractyes

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