Streptococcus suis serotyping by a new multiplex PCR
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
A multiplex PCR was developed to detect all true serotypes of Streptococcus suis. This multiplex PCR was composed of four reaction sets. The first set identified nine serotypes (serotypes 1/2, 1, 2, 3, 7, 9, 11, 14 and 16), the second set identified eight serotypes (serotypes 4, 5, 8, 12, 18, 19, 24 and 25), the third set identified seven serotypes (serotypes 6, 10, 13, 15, 17, 23 and 31), and the last set identified five serotypes (serotypes 21, 27, 28, 29 and 30). This assay correctly detected serotypes 2, 5, 14 and 24 in human isolates, and serotypes 1, 2, 1/2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 16, 17, 19, 24, 28 and 31 in pig isolates from Thailand. No cross-reaction was observed with other bacterial species. Our multiplex PCR was able to simultaneously amplify a DNA mixture of reference Streptococcus suis serotypes. This assay should be useful for serotype surveillance of human and pig isolates of Streptococcus suis.
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 | 0.000 | 0.001 |
| 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) | 0.002 | 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