RAPD analysis, serotyping, and esterase typing indicate that the population of<i>Listeria monocytogenes</i>strains recovered from cheese and from patients with listeriosis in Belgium are different
Bibliographic record
Abstract
Populations of Listeria monocytogenes strains isolated in Belgium from cheese and from patients with listeriosis were characterised by randomly amplified polymorphic DNA (RAPD) analysis using two 10-mers primers (OPA-04 and OPA-13). High discrimination levels were obtained with each of these primers alone (discrimination indices (DI) of 0.899 and 0.935 for OPA13 and OPA04, respectively) or in combination (DI of 0.960). The clustering of strains obtained by RAPD was compared with a clustering previously made using serotyping and esterase typing. RAPD allowed the subdivision of each serovar cluster and of most of the clusters determined by the polymorphism of the bacterial esterases. Our analysis indicates that the population of strains of L. monocytogenes found in cheese differs from the one isolated from patients with listeriosis during the same period.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".