MétaCan
Menu
Back to cohort

Desempenho e consumo de matéria seca de bovinos sob suplementação protéico-energética, durante a época de transição água-seca

2007· article· pt· W2083380004 on OpenAlexfundno aff
Fabiano Alvim Barbosa, D.S. Graça, W. E. Maffei, Fernandes Júnior, G. M. Souza

Bibliographic record

VenueArquivo Brasileiro de Medicina Veterinária e Zootecnia · 2007
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
FundersCanada Millennium Scholarship Foundation
KeywordsAnimal scienceBrachiariaBiologyChemistryForageAgronomy

Abstract

fetched live from OpenAlex

Avaliou-se o efeito da suplementação protéico-energética em dois níveis de ingestão diária, 0,17 e 0,37% do peso vivo médio, sobre o no desempenho e consumo de matéria seca por bovinos, em pastagens de Brachiaria brizantha cv. Marandu. Para avaliação do desempenho foram utilizados 42 novilhos (Holandês x Gir - HG), com média de 211kg de peso vivo inicial (PVI) e para a avaliação do consumo de matéria seca total (CMST) e de forragem (CMSF) foram usados 15 novilhos inteiros HG, com 239kg de PVI. Os tratamentos foram: SM - controle; SUP1 - suplementação protéico-energética com ingestão média diária de 0,17% do peso vivo e SUP2 - suplementação protéico-energética com ingestão média diária de 0,37% do peso vivo (PV). Os valores do CMSF foram de 2,6, 2,4 e 2,3% PV, e os de CMST 2,6, 2,6 e 2,6% PV, para SM, SUP1 e SUP2, respectivamente. Esses valores não diferiram entre si (P>0,05). A suplementação protéico-energética proporcionou maior ganho de peso, 0,54, 0,66 e 0,75kg/cabeça/dia para SM, SUP1 e SUP2, respectivamente.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.297
Teacher spread0.262 · 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.

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

Citations27
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueArquivo Brasileiro de Medicina Veterinária e ZootecniaSame topicRuminant Nutrition and Digestive PhysiologyFrench-language works237,207