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Record W1996206707 · doi:10.3201/eid1505.081536

<i>Klebsiella pneumoniae</i>Carbapenemase, Canada

2009· letter· en· W1996206707 on OpenAlexaffabout
Dylan R. Pillai, Roberto G. Melano, Prasad Rawte, Stephen Lo, Nathalie Tijet, M Fuksa, Nancy Roda, David J. Farrell, Sigmund Krajden

Bibliographic record

VenueEmerging infectious diseases · 2009
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKlebsiella pneumoniaeCitrobacter freundiiKlebsiella oxytocaMicrobiologyBiologyInfection controlCarbapenemPseudomonas aeruginosaTigecyclineMedicineAntimicrobialAntibioticsIntensive care medicineEscherichia coliBacteriaGene

Abstract

fetched live from OpenAlex

ing responsible for nosocomial infection.Items used during the patient's ocular surgery were confi rmed to be disposable and nonreused.Topical drops of corticosteroids commonly applied during cataract surgery for intraocular lens implantation penetrate ocular structures.An alternative hypothesis is that corticosteroids applied during ocular surgery reactivate a latent ocular infection.Our review indicated that 13 of 19 patients with documented T. whipplei uveitis had received topical or systemic corticosteroids before the diagnosis (Table) (7).Worsening of Whipple disease has been reported in patients receiving corticoid therapy for arthralgia (10).We speculate that our patient had an asymptomatic ocular infection before surgery.This case shows that ocular surgery and use of topical corticosteroids that penetrate ocular structures could reactivate a latent T. whipplei ocular infection.We suggest that patients with postoperative panendophthalmitis be tested for T. whipplei by PCR.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0210.011
Insufficient payload (model declined to judge)0.0110.006

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 head0.004
GPT teacher head0.210
Teacher spread0.206 · 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

Citations37
Published2009
Admission routes2
Has abstractyes

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