Profile Analyses of the Personality Assessment Inventory Following Military-Related Traumatic Brain Injury
Bibliographic record
Abstract
Personality Assessment Inventory (PAI) profiles were examined in 160 U.S. service members (SMs) following mild-severe traumatic brain injury (TBI). Participants who sustained a mild TBI had significantly higher PAI scores than those with moderate-severe TBI on eight of the nine clinical scales examined. A two-step cluster analysis identified four PAI profiles, heuristically labeled "High Distress", "Moderate Distress", "Somatic Distress," and "No Distress". Postconcussive and posttraumatic stress symptom severity was highest for the High Distress group, followed by the Somatic and Moderate Distress groups, and the No Distress group. Profile groups differed in age, ethnicity, rank, and TBI severity. Findings indicate that meaningful patterns of behavioral and personality characteristics can be detected in active duty military SMs following TBI, which may prove useful in selecting the most efficacious rehabilitation strategies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".