A Brief (One-Hour) Quantitative Neuropsychological Assessment with Three Performance-Based Tests: Strong Concordance with Proficiency Scores for a More Extensive Test Battery
Bibliographic record
Abstract
Raw scores for each of several dozens of traditional and more recently developed neuropsychological tests were correlated with an impairment index composed of all of these scores from the records of 162 patients who had been assessed following impacts of substantial mechanical energies. A score of either less than 20 correct binaural responses for a dichotic word listening task, more than 99 sec. for Trails B, and more than 3.8 min. to complete the Tactual Performance Test with both hands correctly classified 85% of patients whose z scores were less than -1.0 (below average) or -1.0 or above (average) for a composite neurocognitive index. The results suggest that these three tests, administrable within about one hour, may be employed as a more objective criterion rather than "clinical impressions" for discerning if patients require more extensive neuropsychological testing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".