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Record W4405624811 · doi:10.3168/jdsc.2024-0708

What can't colostrum do? Exploring the effects of supplementing colostrum after the first day of life: A narrative review

2024· article· en· W4405624811 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJDS Communications · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsColostrumNarrative reviewNarrativeMedicinePsychologyImmunologyPhilosophyIntensive care medicineAntibodyLinguistics

Abstract

fetched live from OpenAlex

The objective of this narrative review is to explore the nontraditional uses of colostrum in dairy calves beyond the first and second feeding after birth. Colostrum is well established as a crucial component of early life management in dairy calves, providing essential antibodies for passive immunity. However, recent studies suggest that extending colostrum supplementation beyond the initial feedings, as well as incorporating transition milk, can yield benefits for calf health and development. Research indicates that such supplementation may lead to enhancements in gut development, improved health scores, and reduced incidence of diseases such as diarrhea and respiratory disease. Furthermore, recent findings have highlighted colostrum's potential to aid in the recovery from diarrhea and support calves during the weaning phase. Despite these findings, the exact mechanisms behind these benefits are still unclear, necessitating further research. Additionally, studies with larger sample sizes and varied housing conditions are needed to fully elucidate colostrum's benefits beyond the first day of life.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.082
GPT teacher head0.369
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it