MétaCan
Menu
Back to cohort
Record W2923463806 · doi:10.14740/jmc.v10i4.3274

Graft-Associated Elizabethkingia meningoseptica Bacteremia Managed With Long-Term Oral Ciprofloxacin and Rifampicin

2019· article· en· W2923463806 on OpenAlexvenueno aff
Margaret Omatsone, Harold Katner, Colleen Bradley, Anthonia Omatsone

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCiprofloxacinBacteremiaRifampicinPathogenIntensive care medicineAntibioticsMicrobiologyImmunologyTuberculosisPathology

Abstract

fetched live from OpenAlex

Elizabethkingia meningoseptica is an uncommon pathogen that has been associated with nosocomial infections and can pose a therapeutic challenge. It is resistant to most conventional agents used in treatment of gram-negative organisms and as such use of these agents may be unfavorable. Oral therapy with the appropriate agents to address this infection in certain patients may be successful. We report a case of graft infection with E. meningoseptica causing bacteremia in a dialysis patient who responded to oral agents. J Med Cases. 2019;10(3):93-95 doi: https://doi.org/10.14740/jmc3274

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 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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.264
Teacher spread0.255 · 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 teacher head, 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicInfections and bacterial resistanceFrench-language works237,207