An experimental study with a vaccine strain of porcine reproductive and respiratory syndrome virus to determine effects on viremia assessed by reverse transcriptase-polymerase chain reaction in pigs fed rations medicated with tilmicosin or non-medicated
Bibliographic record
Abstract
Objectives: To determine if feed medicated with tilmicosin affects viremia (assessed using reverse transcriptase-polymerase chain reaction [RT-PCR]) in pigs exposed to a vaccine strain of porcine reproductive and respiratory syndrome virus (PRRSV), clinical signs associated with vaccination (body temperature), and average daily gain. Materials and methods: Purebred Yorkshire pigs (N = 192) were each assigned to one of five treatment groups. Groups 1a and 1b remained PRRSV-negative (controls), while Groups 2, 3, and 4 were injected with a modified-live (MLV) PRRSV vaccine. Groups 1b and 2 were fed non-medicated feed. Rations contained tilmicosin at 400 mg per kg for Group 1a and Group 4 and 200 mg per kg for Group 3. Blood samples were collected to measure serum tilmicosin concentrations and assess PRRSV viremia. Bronchoalveolar lavage was performed and macrophages assessed for PRRSV viremia and tilmicosin concentrations. Results: Groups 1a and 1b remained PRRSV-negative. Number of PRRSV copies per mL in serum was highest in inoculated pigs at 10 days post inoculation, but did not differ among the three inoculated groups. Average daily gain (ADG) was higher in groups fed rations containing 400 mg per kg tilmicosin than in groups on non-medicated rations. Clinical signs of disease were absent in all pigs. Implications: Viremia associated with an MLV vaccine strain of PRRSV does not differ between pigs fed rations containing 200 or 400 mg per kg of tilmicosin. In the absence of clinical disease, pigs consuming tilmicosin-medicated feed have higher ADG than pigs consuming non-medicated feed.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".