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Record W2518842770 · doi:10.22256/pubvet.v9n3.143-149

Líquido da casca da castanha de caju: características e aplicabilidades na produção animal

2015· article· en· W2518842770 on OpenAlex

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

VenuePubVet · 2015
Typearticle
Languageen
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsRumenFood scienceCashew nutNutrientFermentationChemistryAnacardiaceaeBiologyBotanyOrganic chemistry

Abstract

fetched live from OpenAlex

The use of high-grain diet can provide metabolic disturbances to the animals, due to excess of non-structural carbohydrates, which induces a decrease in rumen pH, negatively influencing the digestibility and utilization of nutrients. As an alternative to reduce the negative effects that this type of diet can provide to animals, we can use of food additives and among them stand yeasts, organic acids, plant extracts, probiotics, antibodies and secondary metabolites of plants . There is an established literature on the use of secondary metabolites, such as functional oils, such as natural additives for improving the efficiency of rumen fermentation, reduce methane production, reduce the nutritional stress and improving animal health and productivity. However, relatively few studies on the functional phenolic lipids or oils Anacardiaceae family, which in turn are represented by shell liquid cashew nuts. However, the purpose of literature review is to characterize the shell liquid cashew and present their applicability in animal production.

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)0.000
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 score0.374
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.065
GPT teacher head0.334
Teacher spread0.269 · 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