Short-Form Prediction of WAIS-R Scores in a Sample of Individuals Diagnosed With Multiple Sclerosis
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.
Bibliographic record
Abstract
A short form of the Wechsler Adult Intelligence Scale--Revised (WAIS-R) developed by Ward (WAIS-R/7 SF; 1990) was used to generate Verbal, Performance, and Full Scale IQ scores (VIQ, PIQ, and FSIQ, respectively) in 66 individuals diagnosed with multiple sclerosis (MS). Short-form scores were highly correlated with WAIS-R scores. However, the short-form VIQ and PIQ, but not FSIQ, scores differed significantly from corresponding WAIS-R scores. WAIS-R/7 SF VIQ, PIQ, and FSIQ scores fell within 5, 9, and 6 absolute error points, respectively, of corresponding WAIS-R IQ scores in 95% of cases. Classification of IQ scores into ranges (e.g., average, high average, etc.) based on the scheme outlined by Wechsler (1981) was consistent between WAIS-R/7 SF and WAIS-R scores in 81.8% (for VIQ), 74.8% (for PIQ), and 89.4% (for FSIQ) of cases. These findings are discussed within the context of using the WAIS-R/7 SF in the assessment of MS patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it