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Record W3033754432 · doi:10.37689/acta-ape/2020ao0159

Síndrome da fragilidade e fatores associados em idosos no pronto atendimento

2020· article· pt· W3033754432 on OpenAlexaboutno aff
Renata Clemente dos Santos, Rejane Maria Paiva de Menezes, Gleicy Karine Nascimento de Araújo-Monteiro, Emanuella de Castro Marcolino, Alana Gonçalves Xavier, Rafaella Guilherme Gonçalves, Rafaella Queiroga Souto

Bibliographic record

VenueActa Paulista de Enfermagem · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGerontology

Abstract

fetched live from OpenAlex

Resumo Objetivo Identificar os fatores associados para a síndrome da fragilidade na pessoa idosa atendida em uma Unidade de Pronto Atendimento. Métodos Estudo quantitativo, descritivo, com delineamento de corte transversal, com 146 idosos atendidos em uma Unidade de Pronto Atendimento do interior da Paraíba, nos meses de agosto e setembro de 2017. Foi utilizado um questionário e as escalas de Edmonton Frail Scale e a Hwalek-Sengstock Elder Abuse Screening Test para a caracterização da amostra. A análise dos resultados foi [...]

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.334
Teacher spread0.266 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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Same venueActa Paulista de EnfermagemSame topicElder Abuse and NeglectFrench-language works237,207