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Record W2901162074 · doi:10.1002/mdc3.12708

Clinimetric Properties of the Fragile X‐associated Tremor Ataxia Syndrome Rating Scale

2018· article· en· W2901162074 on OpenAlex
Deborah A. Hall, Glenn T. Stebbins, Sébastien Jacquemont, Elizabeth Berry‐Kravis, Christopher G. Goetz, Randi J. Hagerman, Lin Zhang, Maureen A. Leehey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMovement Disorders Clinical Practice · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversité de Montréal
FundersNational Fragile X Foundation
KeywordsRating scaleAtaxiaConstruct validityPsychologyReliability (semiconductor)Physical medicine and rehabilitationPhysical therapyClinical psychologyPsychiatryPsychometricsMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: There are currently no proven treatments for fragile X-associated tremor and ataxia syndrome (FXTAS). Validated outcome measures are needed in order to plan and conduct clinical trials to aid in the development of therapy. METHODS: This study examined the reliability and construct validity of the FXTAS Rating Scale. The study was conducted by using ratings from movement disorder specialists, who were blinded to gene status, on the FXTAS Rating Scale. RESULTS: In 295 premutation carriers with and without FXTAS, 33 scale items showed a high level of overall reliability, adequate item-to-total correlations and construct validity. Factor analysis revealed four components. CONCLUSIONS: The result demonstrates that many items in the scale meet standard clinimetric criteria, but modification of the scale improved the overall utility.

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.

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)0.004
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 score0.389
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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