Randomized clinical trial of ScourGuard® vaccine in dairy cows on colostrum brix score and transfer of passive immunity success in their calves
Bibliographic record
Abstract
The use of a brix refractometer on dairy farms for colostrum management is becoming more common. This cow-side test can indirectly assess colostrum immunological quality and provide inputs to make decisions regarding colostrum feeding to calves. Achieving a high prevalence of transfer of passive immunity (TPI) success depends on factors such as colostrum immunological quality, volume of colostrum ingested, time delay between birth and ingestion of first colostrum meal, and level of bacterial contamination in colostrum. ScourGuard® vaccine (Zoetis, Kirkland, QC, Canada) is labelled in Canada for dairy cows as an aid for preventing calf diarrhea but it remains unclear if vaccinating the cows would yield greater colostrum brix score. Therefore, the first objective of the study was to quantify the efficacy of ScourGuard® vaccine in dairy cows for increasing colostrum brix score. The second objective was to quantify its efficacy for increasing TPI success in calves.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".