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Record W2944830605 · doi:10.1080/17518423.2019.1619857

Using Behavioral Approaches to Assess Memory, Imitation and Motor Performance in Children with Angelman Syndrome: Results of a Pilot Study

2019· article· en· W2944830605 on OpenAlexaff
Jane Summers

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersAngelman Syndrome Foundation
KeywordsAngelman syndromePsychologyImitationDevelopmental psychologyPhysical medicine and rehabilitationClinical psychologyCognitive psychologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

Purpose: This study was designed to assess memory, imitation of motor actions and motor performance by 12 children (age range 40–151 months) with Angelman syndrome (AS), a rare neurogenetic disorder associated with learning and memory impairments. Methods: Children’s functioning was assessed at several time points over a 3-month period. Results: Memory and motor performance tests had acceptable test-retest and inter-rater reliability whereas the motor imitation test did not. Children were able to recall action sequences after a 24-h delay. Memory and motor performance scores were correlated with children’s chronological age and raw scores on subdomains of the Vineland-II. Conclusions: These behavioral tests require further development and evaluation but may show promise to accompany standardized assessments that are currently in use with children with AS.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.459

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 head0.084
GPT teacher head0.269
Teacher spread0.185 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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