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Record W1554617799

MOTRICIDADE DE LACTENTES QUE VIVEM EM ABRIGO

2012· article· pt· W1554617799 on OpenAlexaboutno aff
Bruna Padilha Zurita Claro dos Reis, Marcelo Fabiano Novaes Paraízo, Denise Campos

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2012
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePediatricsPsychology
DOInot available

Abstract

fetched live from OpenAlex

"Acredita-se que por carência de estimulação, de vínculos afetivos e atenção emocional, as crianças que vivem em abrigos podem apresentar alterações no desenvolvimento neuropsicomotor. Objetivo: Avaliar a motricidade de lactentes que vivem em abrigo, visando detectar precocemente possíveis atrasos ou alterações motoras, e encaminhá-los para intervenção. Metodologia: Tratou-se de um estudo transversal. Foram incluídos 5 lactentes, com idade entre 7 e 12 meses, de ambos os sexos, que vivem em abrigo. Para avaliação foi utilizada a Alberta Infant Motor Scale (AIMS), uma escala canadense que visa detectar lactentes com suspeita de atraso ou alteração no desenvolvimento motor. Resultados: Pôde-se notar que a maioria dos lactentes (80%) foram classificados abaixo do percentil 50, ou seja, abaixo da média do grupo normativo canadense. Cabe destacar ainda que 40% dos lactentes apresentaram suspeita de atraso motor e por isso foram encaminhados para estimulação na clínica de fisioterapia da Faculdade Anhanguera de Campinas (FAC)."

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)0.002
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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
Published2012
Admission routes1
Has abstractyes

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