Decay of passive antibodies in calves fed maternal colostrum or a colostrum replacer
Bibliographic record
Abstract
The passive transfer of immunoglobulins to neonatal calves via maternal colostrum is a major determinant of the calf’s health early in life. It is important that each calf receive 150-200g immunoglobulin G (IgG) within two hours of birth. However, maternal colostrum (MC) can be highly variable in its IgG content and specific antibody levels. Colostrum replacers (CR) can substitute for MC and may provide a more consistent dose of both IgG mass and specific antibodies. Since high levels of colostral antibodies can interfere with the humoral immune response to vaccination, knowing the time that calves become seronegative could allow for strategic timing of vaccination to produce a more consistent protective humoral immune response. The first objective of this study was to compare the level and persistence (antibody decay curves) for specific antibodies in calves fed either MC or CR. A second objective was to investigate whether feeding a CR (vs MC) would result in a more consistent time to seronegativity, with less calf-to-calf variability. We hypothesized that both forms of colostrum would transfer similar mean levels of antibodies, but that CR would deliver a more consistent time to seronegativity for diseases of interest.
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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 | 0.002 |
| 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 | 0.001 | 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".