Bibliographic record
Abstract
Proteinases like thrombin and trypsin, long known for their ability to activate the coagulation cascade or to act as hormone-processing enzymes, are now recognised as hormone-like regulators of cell function. These serine proteinases activate cell signalling by triggering a novel four-member family of G-protein-coupled receptors, termed Proteinase-Activated Receptors (PARs). This review article summarises historically the discovery of PARs as well as their unique mechanism of activation and outlines a number of different pathophysiological settings in which PARs can act to regulate cell and tissue function. PARs can be seen to play a role in pathophysiological processes ranging from inflammation and pain to cardiovascular disease and cancer. Apart from activating PARs to cause their physiological effects in tissues, proteinases can also mediate cell signalling via a number of other mechanisms, including the activation of growth factor receptors, like the one for insulin. Therefore, this article also describes the non-PAR mechanisms whereby proteinases can have hormone-like actions in cells and tissues.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".