Therapeutic Hypothermia: Its Potential and Questionable Role in Traumatic Brain Injury
Bibliographic record
Abstract
From the acute management of cardiac arrest and stroke to traumatic brain injury, the implementation of hypothermia therapy since the past two decades has progressed from various guidelines committees’ consideration of minimal benefit to mixed favorable outcomes being obtained from numerous randomized controlled trials [1]. As far as cases of traumatic brain injury are concerned, there were evidences of positive benefit in terms of mortality rates and neurological outcomes. According to a systematic analysis by Peterson et al. (2008), the relative risks (RR) of mortality (95% confidence interval) in comparison with control treatment groups were lower in subgroups of hypothermic procedures which utilized a cooling duration of over 48 hours (RR = 0.51), delivered at a temperature range of 33 degrees Celsius and above that was defined as milder than below 33 degrees Celsius (RR = 0.77), and when the patient was rewarmed passively (RR = 0.49).
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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 | 0.013 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".