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Pictograma de Fadiga: uma alternativa para avaliação da intensidade e impacto da fadiga

2009· article· pt· W2160608735 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista da Escola de Enfermagem da USP · 2009
Typearticle
Languagept
FieldMedicine
TopicWomen's cancer prevention and management
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

O objetivo foi validar o Fatigue Pictogram para uso no Brasil. Os dados foram coletados em quatro ambulatórios de oncologia de São Paulo (SP) e na Escola de Enfermagem da USP. A amostra de conveniência envolveu 584 pacientes com câncer, 184 acompanhantes e 189 estudantes de graduação enfermagem, que responderam ao Pictograma de Fadiga, ao Inventário de Depressão de Beck (IDB) e Escala de Karnofsky (KPS). Foram feitos testes de validade e confiabilidade. O Teste-reteste mostrou que o instrumento tem boa estabilidade. O primeiro item do Pictograma de Fadiga discriminou estudantes de cuidadores de pacientes, mas não pacientes de cuidadores. O segundo item discriminou todos os grupos. Observou-se adequada validade convergente (fadiga e depressão) e divergente (fadiga e Karnofsky). O Pictograma de Fadiga é válido, confiável e fácil de usar para avaliar fadiga em câncer, mas necessita ajustes para uso em pessoas saudáveis.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.057
GPT teacher head0.361
Teacher spread0.303 · 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