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Modelo de carroceria e seu impacto sobre o bem-estar e a qualidade da carne dos suínos

2007· article· pt· W2105179088 on OpenAlexaff
O. A. Dalla Costa, Jorge Vitor Lüdke, Mateus José Rodrigues Paranhos da Costa, L. Faucitano, J.V. Peloso, Darlan Dalla Roza

Bibliographic record

VenueCiência Rural · 2007
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLongissimus dorsiPhysicsAnimal scienceChemistryAnatomyBiology

Abstract

fetched live from OpenAlex

O objetivo deste trabalho foi avaliar o efeito do modelo de carroceria (MC) (metálica dupla ou simples e simples de madeira) sobre a freqüência de diferentes tipos de lesões na carcaça (FLC) e sobre a qualidade da carne dos suínos. Foram utilizadas 360 fêmeas com peso vivo médio de 132,72±11,09kg. Para a análise estatística, considerou-se no modelo os efeitos de bloco (BL), o MC e a interação entre MC x BL. Verificou-se um efeito do MC sobre a freqüência de lesões na carcaça provenientes de briga e a freqüência total de lesões, sobre o pH1 do músculo Semispinalis capitis (SC), sobre o pH U dos músculos SC, Longissimus dorsi (LD) e Semimembranosus (SM) e sobre a cor dos músculos LD e SM. Suínos transportados em carroceria metálica simples apresentaram maiores valores de pH e da cor dos músculos avaliados. Conclui-se que suínos transportados em carroceria simples apresentam maior prevalência de lesões na carcaça e que o transporte dos suínos em carroceria metálica teve efeito positivo sobre os valores de pH e da cor carne.

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 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 score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.285
Teacher spread0.255 · 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

Citations13
Published2007
Admission routes1
Has abstractyes

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