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Record W2035010554 · doi:10.1177/1087054706292112

Lower Extremity Response Time Performance in Boys With ADHD

2007· article· en· W2035010554 on OpenAlexaff
SJ Pedersen, Matthew Heath, Paul R. Surburg

Bibliographic record

VenueJournal of Attention Disorders · 2007
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyResponse inhibitionClinical psychologyAudiologyDevelopmental psychologyPhysical medicine and rehabilitationPsychiatryCognitionMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Children with ADHD have been labeled as "uncoordinated" and "inefficient movers"; however, a paucity of research has systematically examined "stimulant-free" motor processing in this population. METHOD: In the present investigation, the authors employ a cross-lateral integration task to assess the attainment of a motor milestone in a corpus of 16 adolescents with ADHD acutely removed from their daily medication routine (methylphenidate) and 19 age-matched peers. Participants perform a choice response time task involving the lower extremity to targets located at midline and in ipsilateral and contralateral space. RESULTS/CONCLUSION: This investigation finds that children with ADHD have slower lower extremity reaction and movement times compared to controls, and all preadolescent children demonstrate an inhibition in processing movements that require crossing the midline of the body.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207