Plants secondary metabolites and antiviral properties
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
There are between three and five million viral infections annually. And normally viral infections are being managed therapeutically through available antiviral regimens with unsatisfactory clinical outcomes. So chemically synthesized drugs can be replaced by secondary metabolites from medicinal plants, which are healthier, safer, and cheaper alternatives. Phytomolecules have been employed as antiviral medicines against a variety of viruses since they can inhibit them directly through blocking their entry or throughout the replication phases, in addition to their use as adjuvant treatments in respiratory infections. For instance, the newly emerged COVID-19 is causing one of the most disruptive pandemics in this century. Thus, phytomolecules offer a ray of hope for human health amid pandemics such as COVID-19. This review provides updated data on the secondary metabolites with different antiviral activities.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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