Bibliographic record
Abstract
itroglycerin (NTG) and other organic nitrates continue to be important drugs that are often used in cardiovascular medicine.All organic nitrates undergo denitrification, releasing nitric oxide (NO) through a biotransformation process that remains poorly understood to date.NO activates the enzyme soluble guanylyl cyclase in smooth muscle cells, causing increased levels of the second messenger cGMP.Finally, cGMP activates a cGMPdependent protein kinase.This enzyme mediates vasorelaxation through inhibitory phosphorylation of different proteins involved in the regulation of intracellular Ca 2ϩ levels. See p 2338All of the organic nitrates have potent short-term vascular, hemodynamic, and clinical effects.A critical limitation in their clinical application is the development of tolerance, whereby their initial effects are rapidly lost during sustained administration.Although there seems to be little doubt that NO, or some NO adjunct, mediates the pharmacodynamic effect of nitrates, the mechanism(s) underlying the development of tolerance remain an important and vexing problem for cardiovascular pharmacology.
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.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.008 |
| 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".