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Record W2130079977 · doi:10.4141/a02-035

Effect of dietary leucine level on growth performance, and carcass and meat quality in finishing pigs

2003· article· en· W2130079977 on OpenAlexvenueno aff
Y. Hyun, M. Ellis, F. K. McKeith, D. H. Baker

Bibliographic record

VenueCanadian Journal of Animal Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsMarbled meatLeucineIntramuscular fatFeed conversion ratioLongissimus muscleMealSoybean mealAnimal scienceFood scienceWeight gainBiologyBody weightChemistryAmino acidBiochemistryEndocrinology

Abstract

fetched live from OpenAlex

The effect of feeding corn-soybean meal-based diets with two levels of supplemental leucine (0 vs. 2%) on growth, carcass, and pork quality characteristics was evaluated in 40 individually fed finishing pigs over a 39-d feeding period (78.4 ± 3.46 to 114.8 ± 7.30 kg liveweight). Supplemental dietary leucine reduced weight gain (8.7%; P < 0.05), but had no effect (P > 0.05) on feed intake or gain:feed ratio. Feeding diets with 2% supplemental leucine increased (P < 0.05) longissimus fat content and marbling scores in both barrows and gilts. Key words: Finishing pigs, dietary leucine, intramuscular fat

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.492

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 science0.0000.000
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 head0.050
GPT teacher head0.264
Teacher spread0.214 · 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 teacher head, 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

Citations32
Published2003
Admission routes1
Has abstractyes

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