Novel insights into the delayed vasospasm following subarachnoid haemorrhage: importance of proteinase signalling
Bibliographic record
Abstract
This article summarizes the findings of Kameda et al. (this issue of BJP) that suggest a new avenue for the pharmacological treatment of subarachnoid haemorrhage (SAH) involving the combined use of a proteinase inhibitor (argatroban) that targets thrombin and an antioxidant (vitamin C). The findings are presented in the context of previous modalities of treating SAH that are of modest impact and the possibility that inhibiting proteinase‐mediated signalling via proteinase‐activated receptors like the thrombin PAR1 receptor combined with blocking oxidative stress may provide a new avenue for the treatment of SAH. LINKED ARTICLE This article is a commentary on Kameda et al., pp. 106–119 of this issue. To view this paper visit http://dx.doi.org/10.1111/j.1476‐5381.2011.01485.x
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.002 | 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".