MétaCan
Menu
Back to cohort
Record W3008516144 · doi:10.53357/gdbc6038

Asma e Transtornos Psiquiátricos: Uma Revisão da Literatura

2019· article· pt· W3008516144 on OpenAlex
Ana Alice Carneiro Da Fonseca, Cintia de Freitas Andrade, Fernanda Blanco Vázquez, Isadora Moura Fajardo

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

VenueDiversitates International Journal · 2019
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsImpact
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Asma e Transtornos Mentais são condições comuns e com grande morbimortalidade associada. Há evidências de que haja relação entre eles. Neste estudo revisamos narrativamente a prevalência de transtornos mentais em pacientes com asma; os efeitos da comorbidade psiquiátrica sobre o desfecho da asma; e o impacto do tratamento dessas condições. Foi realizada busca no PubMed e no Google Acadêmico usando as palavras chave asthma e mental disorders. Resultados: Transtornos psiquiátricos são mais prevalentes em pacientes com asma quando comparados à população geral e associam-se a pior controle dos sintomas, maiores taxas de internação, pior qualidade de vida e trazem maior encargo ao sistema de saúde. Conclusão: Pacientes com asma, sobretudo aqueles de difícil controle, devem ser avaliados quanto à presença de doença psiquiátrica. Entretanto, são necessários mais estudos para compreender o impacto do tratamento da comorbidade psiquiátrica sobre a asma.Palavras chave: asma, transtornos psiquiátricos, revisão narrativa

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0180.011

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 head0.044
GPT teacher head0.400
Teacher spread0.356 · 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