Embedded Validity Indicators on CNS Vital Signs in Youth with Neurological Diagnoses
Bibliographic record
Abstract
Computerized screening measures can provide valuable information on cognition. However, determining the validity of obtained data is critical for interpretation. The purpose of this study was to examine the embedded validity indicators on the CNS Vital Signs battery in a sample of youth with neurological diagnoses. The sample included 275 children and adolescents (mean = 13.9, SD = 3.0) with neurological disorders. Six out of seven subtests and six of the nine domain scores on CNS Vital Signs had fewer than 5% of the sample flagged as invalid on the embedded indicators. However, the Shifting Attention Test and its derived domain scores had higher rates of being flagged. Patients with one or more flagged scores (18% of sample) were younger and had lower intellectual abilities, psychomotor speed, verbal memory, and performance on other validity tests. Compared to stand-alone validity tests, CNS Vital Signs embedded validity indicators had low sensitivity. More research is needed with the embedded indicators in youth.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".