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Record W2093429241 · doi:10.1002/mds.23181

A comparison of two brief screening measures of cognitive impairment in Huntington's disease

2010· article· en· W2093429241 on OpenAlexaboutno aff
Laura Mickes, Mark W. Jacobson, Guerry M. Peavy, John T. Wixted, Stephanie Lessig, Jody Goldstein, Jody Corey‐Bloom

Bibliographic record

VenueMovement Disorders · 2010
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentHuntington's diseaseCognitive impairmentPsychologyCognitionReceiver operating characteristicAudiologyExecutive functionsClinical psychologyDiseasePsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

The goal of this study was to explore whether the Montreal Cognitive Assessment (MoCA), a new screening instrument, would be more sensitive to mild to moderate cognitive impairment in Huntington's disease (HD) than an established screening measure, the Mini Mental State Exam (MMSE). Our reasoning for this query is that the MoCA includes a broader range of test items and an additional assessment of executive functioning and attention compared with the MMSE. Using the receiver operating characteristic (ROC) analysis to examine performance of HD and control groups on both tests on overall scores and scores from various subdomains (i.e., visuospatial abilities) revealed that the MoCA achieved higher sensitivity without sacrificing specificity in many domains relative to the MMSE.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.039
GPT teacher head0.322
Teacher spread0.283 · 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 designBench or experimental
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

Citations49
Published2010
Admission routes1
Has abstractyes

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