Slow-to-recover severe traumatic brain injury: a review of outcomes and rehabilitation effectiveness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Severe traumatic brain injury may result in very severe disability with prolonged recovery. Because of this slow recovery, survivors of severe traumatic brain injury may not be considered as good candidates for typical brain injury rehabilitation programmes and, thus, there is relatively little published information concerning the nature of this group. The recent literature regarding functional outcomes and the effectiveness of rehabilitation for this sub-population of brain-injury survivors is reviewed and suggestions for further research are discussed. The existing evidence suggests that this emerging but important group of brain-injury survivors is capable of significant functional recovery over a period of months-to-years after injury, and that rehabilitation may serve to further ameliorate disability and reduce longterm costs of care. It is suggested that further research focus on delineating the nature of recovery in the slow-to-recover brain injury population, exploring the current prevalence of slow-to-recover brain injury survivors, and assessing the effectiveness of currently existing programmes specializing in rehabilitation of this type.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it