Development of oligonucleotide primers for the specific PCR-based detection of the most frequent<i>Enterobacteriaceae</i>species DNA using<i>wec</i>gene templates
Bibliographic record
Abstract
Oligonucleotide primers were designed for the PCR-based detection of the wec gene cluster involved in the biosynthetic pathway leading to the production of enterobacterial common antigen (ECA). Escherichia coli DNA was detected using wec A, wec E, and wec F gene primers. The wec A primers were specific for E. coli. The wec E and wec F primers enabled the detection of the most frequent species of the Enterobacteriaceae found in blood and urine specimens as well as in water. The sensitivity of the assay was approximately 1.2 x 102 bacteria/mL of water. Thus, these primers represent an important step in the molecular diagnosis of major Enterobacteriaceae infections. Their role in the routine testing of contamination in drinking water and food may prove to be very useful. The DNA of Enterobacteriaceae species is detected in a first step PCR, followed by specific identification of important pathogens like E. coli O157, Shigella spp., Salmonella spp., and Yersinia spp.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".