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Record W4311058251 · doi:10.33233/eb.v21i5.5106

Avaliação de enfermeiros da Estratégia Saúde da Família acerca do atributo orientação familiar

2022· article· pt· W4311058251 on OpenAlexaff
Milena de Oliveira, Lorena Alves Fiorenza, Carolina Isabel Bergenthal, Ânderson Rosauro Eich, Keity Laís Siepmann Soccol, Mara Regina Caino Teixeira Marchiori, Naiana Oliveira dos Santos

Bibliographic record

VenueEnfermagem Brasil · 2022
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsGroup Health Centre
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Introdução: A Atenção Primária em Saúde é a porta de entrada do Sistema Único de Saúde e possui atributos essenciais e derivados para sua consolidação no Brasil. Objetivo: Avaliar o atributo derivado orientação familiar, na perspectiva dos enfermeiros da Estratégia Saúde da Família. Métodos: Trata-se de um estudo descritivo, transversal quantitativo realizado no período de março a maio de 2021, com 14 enfermeiros das Estratégias Saúde da Família do município de Santa Maria, que responderam o instrumento PCATool-Brasil (versão profissionais) e um questionário sociodemográfico de forma online. Resultados: O atributo derivado apresentou um escore de 7,9 considerado um elevado grau de orientação familiar. Conclusão: A avaliação, presença e extensão desse atributo, promove a garantia de um cuidado integral, universal e de qualidade para as famílias adscritas nas Estratégias Saúde da Família.

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)0.005
metaresearch head score (Gemma)0.021
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.071
GPT teacher head0.350
Teacher spread0.279 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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