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Record W4389685996 · doi:10.18174/642174

Energy sources for young calves

2023· dissertation· en· W4389685996 on OpenAlexfundno aff
Liliana Amado Barrantes

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCenters for Disease Control and PreventionCanadian Dairy Commission
KeywordsLactoseStarterAnimal scienceMilk proteinNutrientLimitingBasal (medicine)BiologyMedicineFood scienceBiotechnology

Abstract

fetched live from OpenAlex

Chapter 2Responses to incremental nutrient supply on energy and protein metabolism in pre-weaning dairy calves 29 Chapter 3 Incremental supply of lactose, protein or fat influences the diurnal pattern of heat production and substrate oxidation in pre-weaning Holstein calves 49 Chapter 4 Effect of energy source in calf milk replacer on performance, digestibility, and gut permeability in rearing calves 75 Chapter 5 Effect of partial exchange of lactose with fat in milk replacer on performance and blood metabolites of Holstein calves 93 Chapter 6 Effects of mixing a high-fat extruded pellet with a dairy calf starter on performance, feed intake, and digestibility 107

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.378
Teacher spread0.314 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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