Use of pooled protozoal cultures of preputial scraping samples obtained from bulls for the detection of Tritrichomonas foetus by means of a real-time polymerase chain reaction assay
Bibliographic record
Abstract
OBJECTIVE: To determine the sensitivity of a real-time PCR assay for the detection of Tritrichomonas foetus in protozoal cultures of preputial scraping samples pooled from up to 25 bulls and to determine the specificity of that assay for detection of T foetus in cultures for individual animals. DESIGN: Cross-sectional study. ANIMALS: 188 bulls and 150 steers. PROCEDURES: Preputial scraping samples were collected, placed in a culture kit, and incubated at 37°C for 7 days. Cultures for individual animals were tested for T foetus by means of a real-time PCR assay. Pools of protozoal cultures were made by including fixed aliquots of samples with known positive and negative results in ratios of 1:2, 1:3, 1:5, 1:10, 1:15, 1:20, and 1:25. Specificities of the real-time PCR assay and culture for detection of T foetus in samples obtained from individual animals and sensitivity of real-time PCR assay for each evaluated pool ratio were determined. RESULTS: Specificity estimates for culture and the real-time PCR assay for detection of T foetus in preputial scraping samples for individual animals were not significantly different (98.8% and 100%, respectively). Sensitivities of the real-time PCR assay for the various pooled samples with known positive and negative T foetus results were not significantly different; overall sensitivity of the assay was 94%. CONCLUSIONS AND CLINICAL RELEVANCE: Results indicated the evaluated real-time PCR assay had high specificity and good sensitivity for the detection of T foetus in pooled protozoal cultures of preputial scraping samples obtained from up to 25 animals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".