MétaCan
Menu
Back to cohort

Indicadores de obesidade e resistência à insulina: uma revisão sistemática

2021· article· pt· W4200164084 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSaúde e Pesquisa · 2021
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi verificar os indicadores de obesidade associados à resistência à insulina, através de uma revisão sistemática. Dois revisores independentes realizaram uma busca nas bases de dados Medline, Pubmed, LILACS, IBECS-ES e MedCarib até abril de 2019, incluindo estudos caso-controle, coorte ou delineamento transversal, em adultos. A qualidade dos artigos foi avaliada por meio do Newcastle-Ottawa Scale. Foram adotadas as normas do PRISMA para a condução da revisão, com protocolo registrado no PROSPERO. Foram incluídos na revisão 12 artigos. Associação positiva entre indicador de obesidade e HOMA-IR foi observada em todos os estudos. O indicador de obesidade que mais esteve positivamente associado ao HOMA-IR foi o IMC, seguido da circunferência da cintura. Os indicadores de obesidade estão associados ao HOMA-IR podendo ser uma ferramenta útil no rastreio da resistência à insulina.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient 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 score0.226
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.004

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 head0.067
GPT teacher head0.414
Teacher spread0.347 · 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