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Fatores maternos influenciam a resposta à dor e ao estresse do neonato em posição canguru

2013· article· pt· W1896894092 on OpenAlexaff
Thaíla Corrêa Castral, Fay Warnock, Laiane Medeiros Ribeiro, Maria Gorete Lucena de Vasconcelos, Adriana Moraes Leite, Carmen Gracinda Silvan Scochi

Bibliographic record

VenueAmericanae (AECID Library) · 2013
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Investigou-se associação entre fatores maternos e resposta de prematuros submetidos à punção de calcâneo em posição canguru. Trata-se de estudo descritivo envolvendo 42 mães e prematuros de uma unidade neonatal. A coleta ocorreu nos períodos basal, procedimento e recuperação. Mensuraram-se a mímica facial, sono e vigília, choro, cortisol salivar e frequência cardíaca neonatais, além de se mensurar o comportamento, cortisol salivar e estado mental maternos. Analisou-se a influência das variáveis explanatórias maternas nas variáveis de resposta neonatais por análise bivariada, análise de variância e regressão múltipla. A depressão e/ou ansiedade e comportamento materno não influenciaram a resposta do prematuro à dor e estresse. O cortisol salivar pré-punção materno explicou a variância do cortisol salivar pós-punção neonatal (p=0,036); e o cortisol salivar noturno materno, juntamente com a idade pós-natal neonatal, explicaram a variância da frequência cardíaca neonatal (p=0,001). A capacidade das mães em regular seu próprio estresse contribuiu para resposta de dor e estresse do prematuro. _________________________________________________________________________________ ABSTRACT

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)0.003
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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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