Bibliographic record
Abstract
St. John's wort is a common plant that has been used medicinally for over 20 centuries. This herb is currently used by millions of people, primarily as natural antidepressant; yet, its efficacy is still under constant debate. St. John's wort contains a large aromatic molecule, hypericin, twisted by steric interactions into the shape of a propeller. For use as antidepressant, St. John's wort is standardized to the content of hypericin, but this molecule was recently found not to be the active ingredient. A totally different bicyclic molecule with complex substitution pattern, hyperforin, was then studied as the causative agent. Both molecules are strongly active in biological systems. Hypericin has shown antiviral activity and is a potent natural photosensitizer that has been used in photodynamic therapy against cancer and against HIV in stored blood. Hyperforin was found to activate a particular receptor in the liver that induces the production of an enzyme used for the metabolism of medications. This effect causes more rapid breakdown of many prescription medications and can interfere with their effectiveness. This finding should prompt a reevaluation of regular use of St. John's wort.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".