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Record W4394107860 · doi:10.6084/m9.figshare.20015477

Weekly frequency of a motor intervention program for day care babies

2022· dataset· en· W4394107860 on OpenAlexaboutno aff
Laí­s Rodrigues Gerzson, Bruna Maciel Catarino, Kelly Andara de Azevedo, Paula Ribeiro Demarco, Mí­riam Stock Palma, Carla Skilhan de Almeida

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)MedicinePsychologyNursing

Abstract

fetched live from OpenAlex

ABSTRACT The main goal of this research was to compare the effect of a Motor Intervention Program (MIP) on the development of babies in public preschools in Porto Alegre. The study included 59 infants, stratified randomly into three groups: 18 infants met three times a week (3X G); 23 babies met once a week (1XG); and 18 control individuals (CG). Visual (three minutes), manipulation of objects (seven minutes) and strength, mobility, and stabilization (ten minutes) tasks were performed. The instrument used was the Alberta Infant Motor Scale (AIMS) to evaluate the babies' motor development. The study results showed an improved classification from 1XG babies (p = 0.007). The 3XG babies had the most significant difference in the prone posture, sitting and standing, despite being younger. In conclusion, the babies who underwent motor intervention one or three times a week had better results when compared to the control group.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5750.000

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 head0.030
GPT teacher head0.313
Teacher spread0.283 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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