MétaCan
Menu
Back to cohort
Record W3090269812 · doi:10.35984/fjh.v2i3.230

PROPRIEDADES FUCIONAIS DA SOJA

2020· article· pt· W3090269812 on OpenAlexaff
Bruna Dalpizol, Eduarda Lehr, Gabriela Beacker Alves, Fernanda Guedes Rodrigues, Daniela Miotto Bernardi

Bibliographic record

VenueFAG JOURNAL OF HEALTH (FJH) · 2020
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsNutrasource
Fundersnot available
KeywordsFood scienceHumanitiesTraditional medicineChemistryMedicinePhilosophy

Abstract

fetched live from OpenAlex

A soja é a leguminosa mais consumida no mundo atualmente, e é conhecida por suas propriedades anti-inflamatórias e antioxidantes que em grande parte são devidas a isoflavona presente em sua composição. Neste contexto o presente artigo de revisão tem como objetivo avaliar os efeitos do consumo da soja e discutir seu uso na indústria de alimentos. Foram utilizados resultados de 150 estudos comparados entre si para discutir os efeitos benéficos e promissores dos princípios bioativos da soja. Considerando os resultados coletados e comparados, pode-se concluir que a soja possui efeitos positivos no controle dos sintomas da menopausa, e diminui o crescimento de neoplasias, devido a sua alta atividade antioxidante, mas devem ser realizados mais estudos randomizados para comprovação científica dos seus benefícios.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.107
GPT teacher head0.290
Teacher spread0.183 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFAG JOURNAL OF HEALTH (FJH)Same topicAgricultural and Food SciencesFrench-language works237,207