Complementary Medicine The Canadian Journal of Diagnosis / January 200536
Bibliographic record
Abstract
evidence-based review of alternative therapies Hypericum or St. John's Wort hasbeen shown to be useful in mild to moderate depression. Results are comparable to those with tri-cyclic antidepressants and selec-tive serotonin reuptake inhibitors (SSRIs), but with fewer reported side-effects.1-4 It is best to use a standardized extract at a dose of 300 mg three times daily; however, there are reports of using up to 1,700 mg/day in resistant cases. The ther-apeutic effect depends on its hyperforin and hypericin content. Like most prescription drugs, St. John’s Wort has a delayed effect; it can take between two and four weeks before any clinical improvement in mood disor-der is evident. St. John’s Wort can sometimes cause: • drowsiness, • photosensitivity, • gastrointestinal upset, • restlessness, • confusion and • skin rashes. There have also been reports this herb may exacerbate psychosis in patients with schizophrenia, induce mania and hypo-mania and cause serotonin syndrome.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.159 | 0.021 |
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".