Searching for the physiological role and therapeutic potential of vascular proteinase‐activated receptor‐2 (PAR<sub>2</sub>)
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
Abstract The intercellular interactions of endothelial and vascular smooth muscle cells are interesting to many scientists who seek to develop new drugs to treat cardiovascular diseases. Of particular interest is the regulation of blood flow by the paracrine actions of the endothelium on the underlying vascular smooth muscle cells of blood vessels. The development and further understanding of drugs that mimic or potentiate endothelial‐derived factors, in particular vasodilators such as nitric oxide (NO), have proved to be of therapeutic benefit (e.g., sildenafil, nitroglycerin). On the other hand, endothelial‐derived proinflammatory substances are released in response to tissue insult or during the progression of vascular diseases such as atherosclerosis. Proteinase‐activated receptor 2 (PAR 2 ) represents a novel target for vascular biology because of 1) its unique mechanism of activation by proteinases, 2) questions regarding the identity of the endogenous agonist(s), and 3) its apparent multiple activities in the vasculature. Whether it will be agonists or antagonists of PAR 2 that will serve as the basis for a new class of therapeutic agents for the treatment of vascular diseases is an open question for further research and drug development. Drug Dev. Res. 60:14–19, 2003. © 2003 Wiley‐Liss, Inc.
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 | 0.003 | 0.000 |
| 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) | 0.000 | 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 it