The heterogeneity of mild traumatic brain injury: Where do we stand?
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To explore the heterogeneity of mild traumatic brain injury (mTBI). METHODS AND PROCEDURES: Hospital-based prospective follow-up study of 125 patients with mTBI sub-divided into 'severity' sub-groups on the basis of GCS scores (GCS of 15 = mild sub-group; GCS of 13-14 = moderate sub-group). Post-traumatic amnesia (PTA) duration (30 minutes used as a cut-off) was also used to define group membership for secondary analyses. The follow-up assessment consisted of a brief neuropsychological battery as well as measures of neurobehavioural functioning, community integration and post-concussive symptomatology. CT scanning was also obtained when clinically relevant. MAIN OUTCOMES AND RESULTS: The two mTBI sub-groups, as defined by GCS scores, did not differ with respect to post-concussive symptomatology, neurobehavioural symptoms, neuropsychological performance or CT scan abnormalities. In contrast, when group membership was redefined on the basis of PTA, the two sub-groups differed significantly with respect to intracranial abnormalities and report of aggressive or disinhibited behaviours at the 6-month mark. CONCLUSIONS: While the notion of heterogeneity in mTBI was not supported when severity was based on GCS scores, there was partial support when PTA duration was used as a measure of severity.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".