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.
Bibliographic record
Abstract
INTRODUCTION: The global dissemination of the New Delhi metallo-beta-lactamase (NDM) gene among certain strains of bacteria has serious implications since the infections caused by such organisms pose a therapeutic challenge. Although the NDM gene has been detected in various parts of the world, this is the first report of its detection in the English-speaking Caribbean. The NDM producing Klebsiella pneumoniae was isolated from an Indian patient who had recently relocated to Jamaica. METHODOLOGY: Identification and susceptibility testing of the K. pneumoniae isolate was performed using the Vitek 2 automated system) in keeping with Clinical and Laboratory Standards Institute (CLSI) standards. It was identified as a metallobetalactamase producer using the Rosco KPC+MBL kit. Genotypic screening for common betalactamase (including carbapenemase) genes, was carried out using two multiplex PCRs: one for SHV-, TEM-, CTX-M-, OXA-1-, and CMY-2-types, and one for VIM-, KPC-, IMP-, OXA-48, GES-, and NDM-types. Strain typing was conducted by pulsed-field gel electrophoresis (PFGE) using XbaI and multi-locus sequencing (MLS). Plasmid isolation and analysis was also performed. RESULTS: K. pneumoniae (N11-02395), not previously associated with the dissemination of the NDM in India, Sweden or the UK, was found to harbor the NDM-1 gene on plasmid pNDM112395. CONCLUSION: The identification of the NDM-1 gene underscores the need for effective surveillance and infection control measures to identify and prevent spread of multidrug resistant Gram negative bacilli. Strict infection control measures implemented for this patient helped to prevent the spread of this organism to other patients.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it