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USO DE ÓLEOS ESSENCIAIS®1 NA ALIMENTAÇÃO DE LEITÕES

2008· article· pt· W2757398279 on OpenAlexaff
Octavio Hiroshi Suzuki, José Sidney Flemming, Marcos Elias Traad Silva

Bibliographic record

VenueRevista Acadêmica Ciência Animal · 2008
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsThe Canadian Association of Professional Academic Librarians
Fundersnot available
KeywordsFood scienceBiologyChemistryBiotechnology

Abstract

fetched live from OpenAlex

A inclusão indiscriminada de antibióticos na alimentação dos animais tem sido combatida em todo o mundo por induzir ao aparecimento de resistência microbiana. Assim, alternativas de produtos naturais que possam substituir os antibióticos têm sido buscadas. Os óleos essenciais e extratos de plantas apresentam-se como potenciais para a inclusão nas dietas dos animais submetidos à produção intensiva, sendo considerados, sobretudo, como substâncias economicamente viáveis para a substituição desses produtos nas rações. Comparou-se a utilização de óleos essenciais aos antibióticos em um estudo conduzido com 80 leitões nas fases pré-inicial e inicial. Os óleos essenciais apresentaram efeito similar aos antibióticos para: ganho de peso, consumo de ração e conversão alimentar. O custo da utilização dos óleos foi significativamente menor, demonstrando a sua viabilidade econômica, bem como possibilita avanços nas avaliações de produtos naturais como forma de promover a saúde dos homens e dos animais.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.041
GPT teacher head0.268
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

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 designBench or experimental
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

Citations7
Published2008
Admission routes1
Has abstractyes

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Same venueRevista Acadêmica Ciência AnimalSame topicAnimal Nutrition and PhysiologyFrench-language works237,207