Concurrent validity of abbreviated WAIS-III index scores in geriatric outpatients with suspected dementia
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".