ANTIBODY RESPONSE TO EPSILON TOXIN OF<i>CLOSTRIDIUM PERFRINGENS</i>IN CAPTIVE RED DEER (<i>CERVUS ELAPHUS</i>) OVER A 13-MONTH PERIOD
Bibliographic record
Abstract
Deer are sensitive to clostridial diseases, and vaccination with clostridial toxoids is the method of choice to prevent these infections in ruminants. The purpose of this study was to evaluate the serologic responses in red deer (Cervus elaphus) over a 13-mo period after vaccination with a multivalent clostridial vaccine, containing an aluminium hydroxide adjuvant. Antibody production to the Clostridium perfringens type D epsilon toxin component of the vaccine was measured using an indirect enzyme-linked immunosorbent assay. Animals from group 1 (9 mo old; n = 6) were naïve and received an initial vaccination with a booster vaccine 4 wk apart and one annual booster. Animals from group 2 (21 mo old; n = 10) had been previously vaccinated 12 mo prior and received a first annual booster at the beginning of this study and a second annual booster 12 mo later. The multivalent clostridial vaccine induced a high antibody response that peaked after each injection and then slowly decreased with time. In group 1, a booster vaccine was required to obtain an initial high humoral response. The annual booster injection induced a strong, rapid, and consistent anamnestic response in both groups. The serologic responses persisted significantly over the baseline value for 9-12 mo in group 1, but more than 12 mo in group 2. It is unknown whether the measured humoral immune responses would have been protective as no challenge studies were performed. Further investigation is needed to determine the protective antibody titers to challenge and how long this immunity might persist after vaccination.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".