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Record W1967296946 · doi:10.1016/j.acn.2005.12.003

Concurrent validity of abbreviated WAIS-III index scores in geriatric outpatients with suspected dementia

2006· article· en· W1967296946 on OpenAlexafffund
Brian L. Brooks, Lawrence T. Weaver

Bibliographic record

VenueArchives of Clinical Neuropsychology · 2006
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsRockyview General HospitalRiverview HospitalUniversity of Calgary
FundersAlberta Heritage Foundation for Medical ResearchFondation pour la Recherche MédicaleUniversity of Calgary
KeywordsDementiaConcurrent validityIndex (typography)PsychologyWechsler Adult Intelligence ScaleShort FormsPsychometricsPopulationBarthel indexAudiologyClinical psychologyMedicinePsychiatryCognitionActivities of daily livingInternal consistency

Abstract

fetched live from OpenAlex

Assessments of older adults with suspected dementia can be time limited and clinicians might consider using abbreviated versions of measures. The present study examined the concurrent validity of abbreviated WAIS-III index scores in a sample of geriatric patients referred for assessment of suspected dementia (N=43; mean age=63.8 years). All 2-subtest estimates of the Verbal Comprehension, Perceptual Organization, and Working Memory index scores accurately estimated more than 80% of cases within +/-2 standard errors of measurement (S.E.M.), and in most cases, more than 90% of cases were accurate at this level. While none of the 1-subtest estimates of these index scores were as accurate, both of the 1-subtest estimates of the Processing Speed index had high clinical accuracy. Abbreviated versions of the four index scores can be substituted in situations with this clinical population where testing time is limited or a patient fatigues easily.

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)0.003
metaresearch head score (Gemma)0.020
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.393
Teacher spread0.346 · 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

Citations4
Published2006
Admission routes2
Has abstractyes

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