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Record W2078078592 · doi:10.1097/pep.0000000000000014

Assessing Gross Motor Development of Brazilian Infants

2013· article· en· W2078078592 on OpenAlexaboutno aff
Ana Paula Bensemann Gontijo, Lívia de Castro Magalhães, Miriam Q. F. Guerra

Bibliographic record

VenuePediatric Physical Therapy · 2013
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsPercentileMedicineIndex (typography)Reference valuesGross motor skillDemographyPediatricsMotor skillStatisticsMathematicsComputer science

Abstract

fetched live from OpenAlex

In Brief Purpose: To determine whether the Alberta Infant Motor Scale (AIMS) requires reference values specific for Brazilian infants. Methods: A total of 660 (330 girls) healthy full-term infants from Belo Horizonte were assessed using the AIMS. Scores and percentile curves were compared with the Canadian reference values. Results and Discussion: Differences were found in the 5th percentile (9-<10 and 10-<11 months) and the 10th percentile (4-<5, 9-<10, and 10-<11 months) curves. No significant differences were found between sexes on the basis of the economic classification or the criteria of the Human Development Index. Conclusion: Primarily because of the corrections made to the 5th and 10th percentile curves, we recommend the use of the Brazilian infant data curves reported here for further studies conducted in Brazil. Because the Human Development Index of Belo Horizonte is similar to that for Brazil as a whole, the results of this study should be relevant for clinicians throughout Brazil. This study of 660 Brazilian infants' performance on the AIMS led the authors to recommend use of Brazilian infant data for assessing Brazilian infants due to corrections made to the 5th and 10th percentiles curves.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.025
GPT teacher head0.309
Teacher spread0.284 · 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.

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

Citations26
Published2013
Admission routes1
Has abstractyes

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