Effects of day-of-injury alcohol intoxication on neuropsychological outcome in the acute recovery period following traumatic brain injury
Bibliographic record
Abstract
Some researchers have found that day-of-injury alcohol intoxication is associated with worse outcome following traumatic brain injury (TBI). The purpose of this study is to examine the effects of day-of-injury intoxication on the acute neuropsychological outcome from TBI. Participants were 36 patients with TBI (18 sober, 18 intoxicated) matched on injury severity characteristics and demographic variables. A larger group of 146 patients (112 sober, 36 intoxicated) with TBI was also selected for analyses; not matched on injury severity or demographic variables. Patients had no history of pre-injury alcoholism and were assessed within 10 days post-injury on 13 cognitive measures. Unexpectedly, patients who were sober at the time of injury performed lower on many of the cognitive measures compared to those who were intoxicated. In contrast to the research literature, these results suggest that individuals who were intoxicated at the time of injury performed similarly, and in some cases, better than those who were sober at the time of injury.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".