Examining the Relationship Between WAIS-III Premorbid Intellectual Functioning and WMS-III Memory Ability to Evaluate Memory Impairment
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this study was to extend previous research by Lange and Chelune (2006 Lange , R. T. , & Chelune , G. J. ( 2006 ). Application of New WAIS-III/WMS-III discrepancy scores for evaluating memory functioning: Relationship between intellectual and memory abilities . Journal of Clinical and Experimental Neuropsychology , 28 , 592 – 604 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) by evaluating the clinical utility of GAI-memory discrepancy scores to detect memory impairment using estimated premorbid GAI scores (i.e., GAI-E) rather than obtained GAI scores. Participants were 34 patients with Alzheimer's-type dementia and a sub-sample of 34 demographically matched participants from the WAIS-III/WMS-III standardization sample. GAI-memory discrepancy scores were more effective at differentiating Alzheimer's patients versus healthy controls when using estimated premorbid GAI scores than obtained GAI scores. However, GAI(E)-memory discrepancy scores failed to provide unique interpretive information beyond that which is gained from interpretation of the memory index scores alone. This was most likely due to the prevalence of obvious memory impairment in this patient population. Future research directions are discussed.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it