Pre-colostral antibodies to Neospora caninum in beef calves following an abortion outbreak and associated fall weaning weights
Bibliographic record
Abstract
Published reports have suggested that Neospora caninum infection may decrease milk production in dairy cows and affect rate of gain and feed efficiency in feedlot steers. This study examined whether there was an effect on the weaning weights of commercial beef calves. The outbreak involved a family-owned, 350-head cow-calf beef herd. Calves that developed antibodies to N. caninum during gestation were compared to calves with no evidence of infection. Blood samples were collected from calves before colostrum ingestion and from all cows after calving. Sera were analysed using a commercially available enzyme linked immunosorbent assay for N. caninum. Detailed individual calving records, birth, and weaning weights were available for all calves. Of the 180 samples collected from the cows and first-calf heifers after calving, 153 (85%) were positive for N. caninum. Seventy-five (67%) blood samples collected from 112 calves prior to colostrum ingestion also had positive antibody titres for N. caninum. Fall calf weights for calves with antibodies to N. caninum at birth were insignificantly different than those of calves with no antibodies (difference, -9.2 lb [-4.18 kg]; 95% CI, -31.3 to 12.8 lb), after adjusting for calf sex, dam age, calf birth weight, calf age at weighing, and sire group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".