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Record W2030697573 · doi:10.5585/conssaude.v10i1.2461

Comportamento de lactentes em decúbito lateral e a influência da adição de peso no punho

2011· article· pt· W2030697573 on OpenAlexaboutno aff
Danielle Mendonça Araújo, Luciane Aparecida Pascucci de Souza Sande, Luciane Fernanda Rodrigues Martinho Fernandes, Karina Pereira

Bibliographic record

VenueConScientiae Saúde · 2011
Typearticle
Languagept
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBody weightInternal medicine

Abstract

fetched live from OpenAlex

Introdução: Vários são os estudos sobre comportamento de lactentes em diferentes posturas. No entanto, poucos investigaram o decúbito lateral, que é uma postura frequentemente usada em estimulação fisioterapêutica precoce, e também os efeitos da adição de peso aos segmentos. Objetivo: Esse estudo teve como objetivo avaliar o comportamento do lactente em decúbito lateral, com e sem adição de peso. Materiais e Métodos: Participaram 6 lactentes saudáveis, avaliados conforme a Alberta Infant Motor Scale, e depois posicionados na maca para filmagem dos comportamentos em 3 fases: I (pré-peso), II (peso adicional = 20% da massa do membro superior) e III (pós-peso), com duração de 2 minutos cada. Foram observadas as coordenações mão-boca, junções de mãos e alcances. A estimulação foi feita por meio de brinquedos maleáveis. Resultados: Foi observado que os comportamentos de alcance, junção de mãos e coordenação mão-boca em decúbito lateral foram influenciados positivamente pela adição e retirada do peso.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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 designBench or experimental
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

Citations1
Published2011
Admission routes1
Has abstractyes

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