Journal of Medical Microbiology (2005), 54, 655–659 DOI 10.1099/jmm.0.46025-0 46025 & 2005 SGM Printed in Great Britain 655 Correspondence
Bibliographic record
Abstract
The morbidity and mortality rates in patients with cystic fibrosis (CF) are significantly affected by infections withBurkholderia cepacia complex. In aCzechCFCentre, the prevalence of the infection reachedup to30%,with themajority of patients found tobe infectedwithBurkholderia cenocepacia (formerly genomovar III of the Burkholderia cepacia complex). Since B. cenocepacia is associated with patient-to-patient transmission and epidemic outbreaks among CF patients, this study sought to examine the epidemiological relatedness between the Czech isolates belonging to the genomovar-homogeneous group. Eighty-three clinical isolates recovered from 67CF patients were analysed using a random amplified polymorphic DNA (RAPD) assay and macrorestriction typing (SpeI andXbaI) followedbyPFGE.A single predominant banding pattern shared bymultiple isolates was detected, althoughSpeI-generated PFGE results yielded a higher rate of inter-pattern variability in comparison to the more uniform RAPD and XbaI-generated PFGE results for this clone. Both typing systems also showed that only three out of 67 patients harboured strains distinct from the major strain type. The dominant clone was characterized by PCR positivity for the B. cepacia epidemic strain marker, PCR negativity for the cable pilin subunit gene and close genetic relatedness to the epidemic strain of RAPD 01 type previously identified in Canada.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.204 | 0.157 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".