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Record W2183123720 · doi:10.4141/cjas2013-054

Short Communication: Associations between chemical composition and physical properties of milk and colostrum with feed efficiency in beef cows

2013· article· en· W2183123720 on OpenAlexaffvenue
Y.R. Montanholi, Stephanie Lam, Vanessa Peripolli, Gordon Vander Voort, Stephen P. Miller

Bibliographic record

VenueCanadian Journal of Animal Science · 2013
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsColostrumLactoseFood scienceComposition (language)Animal scienceChemistryBiologyImmunology

Abstract

fetched live from OpenAlex

Montanholi, Y. R., Lam, S., Peripolli, V., Vander Voort, G. and Miller, S. P. 2013. Short Communication: Associations between chemical composition and physical properties of milk and colostrum with feed efficiency in beef cows. Can. J. Anim. Sci. 93: 487–492. Lactogenesis is an energetically demanding process influencing efficiency of feed utilization. Individual energetic expenditure variation may exist in this process and could be accessed through the properties of milk and colostrum in beef cows. Properties of both secretions were analyzed for fat, protein, and lactose contents. Freezing point and somatic cell count were determined in milk and specific gravity and total solids in colostrum. Associations between feed efficiency and milk freezing point, milk lactose content, and colostrum specific gravity were noticed. This link between milk and colostrum properties with feed efficiency could be considered for the improvement of feed efficiency.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0190.003

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 head0.044
GPT teacher head0.289
Teacher spread0.245 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2013
Admission routes2
Has abstractyes

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