Use of high-resolution melting curve analysis to identify <i>Mycoplasma</i> species commonly isolated from ruminant, avian, and canine samples
Bibliographic record
Abstract
A real-time polymerase chain reaction assay coupled with high resolution melting curve analysis (PCR-HRM) was developed for identifying and distinguishing Mycoplasma species commonly isolated from ruminant, avian, and canine samples. The real-time PCR used 1 set of universal primers specific for the spacer region between the 16S ribosomal RNA and the 23S ribosomal RNA genes; the melting curve analysis of the PCR product used a high-resolution melt fluorescent dye. The real-time PCR-HRM assay was able to distinguish M. arginini, M. bovigenitalium, M. bovis, M. bovirhinis, M. canadense, M. cynos, M. spumans, M. iowae, M. meleagridis, and M. agalactiae reference strains. The real-time PCR-HRM assay developed was evaluated by testing field isolates of M. bovis, M. arginini, M. bovirhinis, M. bovigenitalium, M. iowae, and M. spumans with results consistent with those of the fluorescent antibody test.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".