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Record W2061070120 · doi:10.3109/17518421003705698

Selective motor control of the lower extremities in children with cerebral palsy: Inter-rater reliability of two tests

2010· article· en· W2061070120 on OpenAlexaff
Dirk‐Wouter Smits, Annerieke C. van Groenestijn, Marjolijn Ketelaar, Vanessa A. Scholtes, Jules G. Becher, Jan Willem Gorter

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCerebral palsyInter-rater reliabilityPhysical medicine and rehabilitationReliability (semiconductor)Motor controlPsychologyMotor impairmentMedicinePhysical therapyDevelopmental psychologyPsychiatryRating scale

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to examine the inter-rater reliability of two tests measuring selective motor control (SMC) of the lower extremities in children with cerebral palsy (CP). METHODS: Two testers independently assessed 21 children (13 boys, eight girls; mean age 6 years 5 months, SD 12 months) with spastic CP (14 unilateral and seven bilateral) using the Boyd and Graham SMC test (with an existing protocol) and the modified Trost SMC test (with a newly developed protocol). Inter-rater reliability was analysed using Cohen's Kappa. RESULTS: For the Boyd and Graham SMC test for ankle dorsiflexion, Kappa was 0.55 (95% CI = 0.36-0.74). For the modified Trost SMC test for ankle dorsiflexion, knee extension, hip abduction and hip flexion, Kappas were 0.65 (0.47-0.84), 0.69 (0.49-0.88), 0.57 (0.37-0.78) and 0.71 (0.51-0.91), respectively. CONCLUSION: The SMC tests showed moderate (Boyd and Graham SMC test) to good (modified Trost SMC test) inter-rater reliability.

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 score0.042
Threshold uncertainty score0.395

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 head0.005
GPT teacher head0.228
Teacher spread0.223 · 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

Citations29
Published2010
Admission routes1
Has abstractyes

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