MétaCan
Menu
Back to cohort
Record W3014547648 · doi:10.24953/turkjped.2020.01.013

Assessment of motor development using the Alberta Infant Motor Scale in full-term infants

2020· article· en· W3014547648 on OpenAlexaboutno aff
Büşra Kepenek-Varol, Zeynep Hoşbay, Selçuk Varol, Emel Torun

Bibliographic record

VenueThe Turkish Journal of Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Scale (ratio)Motor skillPsychologyPhysical medicine and rehabilitationDevelopmental psychologyMedicineGeographyPhysicsCartography

Abstract

fetched live from OpenAlex

The Alberta Infant Motor Scale (AIMS) is a well-known, norm-referenced scale that evaluates the gross motor development of children from birth to 18 months. The aim of the study was to compare the Canadian norms with the AIMS scores of a Turkish sample of infants, and to investigate whether the current reference values of the AIMS are representative for Turkish full-term infants. The study was conducted with 411 Turkish infants of both sexes (195 girls and 216 boys), born with gestational age 38 weeks and older, weighing ≥2500 g at birth. Motor performance of all the cases at different ages were assessed with the AIMS which was used by a physiotherapist. The mean AIMS scores of Turkish infants were compared with the norm values of the original AIMS established in a Canadian sample of infants. The results showed no statistically significant differences between the AIMS scores of Turkish and Canadian infants during the first 18 months of life except at 0- < 1 and 2- < 3 months of age. The AIMS scores were significantly lower in Turkish infants than in Canadian infants at 0- < 1 (p=0.025) and 2- < 3 (p=0.042) months of age. In conclusion, the AIMS can be used in Turkish children to assess gross motor development, especially after 4 months of age. However, this paper was presented as a preliminary study to compare AIMS results between Turkish and Canadian infants, and further studies are needed to realize the Turkish validation of AIMS.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.289
Teacher spread0.264 · 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

Citations23
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Turkish Journal of PediatricsSame topicInfant Development and Preterm CareFrench-language works237,207