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Tempo de jejum dos suínos no manejo pré-abate sobre a perda de peso corporal, o peso do conteúdo estomacal e a incidência de úlcera esofágica-gástrica

2007· article· pt· W2105256909 on OpenAlex
O. A. Dalla Costa, Mateus José Rodrigues Paranhos da Costa, Jorge Vitor Lüdke, Arlei Coldebella, Jalusa Deon Kich, J.V. Peloso, L. Faucitano, Darlan Dalla Roza

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiência Rural · 2007
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsResearch Canada
Fundersnot available
KeywordsAnimal scienceBody weightChemistryMedicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

O objetivo deste trabalho foi avaliar os efeitos do tempo de jejum (9, 12, 15 e 18 horas) dos animais na granja (TJG) e da posição na carroceria do caminhão (PBO) durante o transporte da granja ao frigorífico sobre: a perda de peso corporal (PPC), o peso do estômago cheio (PEC) e vazio (PEV), o peso do conteúdo estomacal (PCE) e o escore de lesão na mucosa esofágica-gástrica (ELG). Foram utilizadas 192 fêmeas, com peso vivo médio de 134,51±11,80kg. No modelo, foram considerados os efeitos de bloco (estação do ano, BL), TJG, PBO e da interação entre BL x TJG. Verificou-se efeito significativo do TJG apenas sobre o peso do conteúdo estomacal. Não se observou efeito significativo da PBO sobre qualquer das variáveis avaliadas. Dos suínos avaliados, 90,3% apresentaram PEC menor que 500 gramas e 8,56% com PEC entre 500 e 800 gramas. A prevalência de suíno com ELG foi baixa (14,97%), sendo que, dos animais com ELG, 13,90% apresentaram lesão de grau 1 e 1,09% eram grau dois. Conclui-se que animais submetidos a jejum na granja de 15 horas apresentam menor peso do conteúdo estomacal ao abate.

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.

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)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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