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Record W4392895787 · doi:10.34119/bjhrv7n2-058

O jejum intermitente como estratégia de controle de citocinas pró – inflamatórias

2024· article· pt· W4392895787 on OpenAlexaff
Marcela Leticia Quinhone, Jean Carlos Fernando Besson

Bibliographic record

VenueBrazilian Journal of Health Review · 2024
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare Regulation
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O jejum intermitente, caracterizado por períodos de jejum intercalados com uma janela de alimentação, tem se apresentado como uma estratégia alimentar cada vez mais utilizada, seja por seus benefícios no controle e manutenção do peso corporal, como também no controle efetivo da patogênese de diversas doenças, principalmente nas doenças de cunho inflamatório. Nesse contexto, uma ampla gama de estudos tem surgido afim de comprovar tais benefícios, bem como analisar marcadores inflamatórios em indivíduos que praticam o jejum. A partir disso, foi realizada uma revisão com estudos datados nos últimos dez anos, com o intuito de analisar e revisar as evidências científicas disponíveis relativas ao impacto do Jejum intermitente em marcadores pró inflamatórios em humanos, de modo a contribuir para estimativas mais estáveis dos efeitos do Jejum Intermitente.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.075
GPT teacher head0.474
Teacher spread0.400 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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