Knowledge Gained From the Brief Traumatic Brain Injury Screen—Implications for Treating Canadian Military Personnel
Bibliographic record
Abstract
OBJECTIVE: To compare physical and mental health outcomes of Canadian military personnel with probable mild traumatic brain injury (mTBI) to outcomes of those without and to report implications for collaboration and treatment. METHODS: One hundred forty-seven soldiers attending the Operational Stress Injury Clinic at Parkwood Hospital, London, Ontario, were screened for mTBI and completed several other measures of mental and physical health. Scores from these measures were compared across two groups (positive vs. negative screens for mTBI) using an independent samples t-test. RESULTS: Thirty-four of 147 participants screened positively for mTBI. Soldiers with probable mTBI were more likely to have poorer physical health but were less likely to engage in problem drinking than those who screened negatively for mTBI. CONCLUSIONS: In this initial study, we found that the wide range of physical and mental health difficulties experienced by Canadian military personnel with probable mTBI necessitates an interdisciplinary collaborative care model.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".