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Record W202679724 · doi:10.2807/ese.14.04.19102-en

First identification of metallo-beta-lactamase-producing Pseudomonas aeruginosa in the Czech Republic

2009· article· en· W202679724 on OpenAlex
Jaroslav Hrabák, Marta Fridrichová, M. Štolbová, Tamara Bergerová, Helena Žemličková, P Urbášková

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEurosurveillance · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsPseudomonas aeruginosaMicrobiologyCzechBeta-lactamaseAntibioticsPopulationBiologyMedicineBacteriaEnvironmental healthEscherichia coliGene

Abstract

fetched live from OpenAlex

Since 2005, invasive isolates of Pseudomonas aeruginosa have been collected in the Czech Republic as part of the European Antibiotic Resistance Surveillance System (EARSS). Forty-eight microbiology laboratories throughout the country including approximately 81% of the population provide consecutive isolates from blood and cerebrospinal fluid. Surprisingly, no metallo-beta-lactamase (MBL) was found in 1,259 invasive isolates tested over the past three years until the detection of two MBL-producing strains in mid-2008. Both strains were isolated from patients hospitalised in one regional hospital. The MBL was identified as IMP-7, which had been seen previously in Canada, Japan, Malaysia and Slovakia.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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