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Record W4387851198 · doi:10.36692/v15n3-15

PERCEPÇÃO DA DOR CRÔNICA PELO SNC

2023· article· pt· W4387851198 on OpenAlexaboutno aff
Filipe de Souza Santos, David Costa Mendes, Maria Clara Antunes Pimenta, Thais Ferreira Lopez Cruz, Priscylla Ruany Mendes Pestana, Ana Carolina Mello Alves Rodrigues

Bibliographic record

VenueRevista CPAQV - Centro de Pesquisas Avançadas em Qualidade de Vida · 2023
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

INTRODUÇÃO: A dor crônica mostra-se como uma experiência subjetiva que pode ocorrer devido a fatores biopsicossociais e alterações no sistema nervoso, comprometendo a funcionalidade e qualidade de vida. OBJETIVO: O objetivo desse estudo foi investigar os aspectos sensoriais, afetivos, avaliativo, miscelânea e intensidade da dor em indivíduos com dor crônica. METODOS: Vinte indivíduos com diagnóstico clínico de dor crônica foram avaliados por meio do McGill Pain Questionnaire. O Teste Qui-quadrado de Person e o coeficiente de contingência foram utilizados para comparação dos aspectos de percepção da dor com sintomas e intensidade da dor. RESULTADOS: Foram observadas uma relação do aspecto afetivo com a presença de sintomas de tontura, e relação da intensidade da dor com os sintomas de constipação, diarreia e dor de cabeça. A ingestão de alimento apresenta associação com aspecto afetivo e miscelânea da dor. CONCLUSÃO: A dor crônica mostra alterações na percepção de dor a nível de sistema nervoso associado a desencadeamento de sintomas fisiológicos.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.059
GPT teacher head0.358
Teacher spread0.298 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista CPAQV - Centro de Pesquisas Avançadas em Qualidade de VidaSame topicHealthcare during COVID-19 PandemicFrench-language works237,207