The New Face of Berries: A Review of Their Antiviral Proprieties
Bibliographic record
Abstract
Due to rising consumer preference for natural remedies, the search for natural antiviral agents has accelerated considerably in recent years. Among the natural sources of compounds with potential antiviral proprieties, berries are interesting candidates, due to their association with health-promoting properties, including antioxidant, antimutagenic, anticancer, antimicrobial, anti-inflammatory, and neuroprotective properties. The past two decades have witnessed a flurry of new findings. Studies suggest promising antiviral proprieties against enveloped and non-enveloped viruses, particularly of cranberries, blueberries, blackcurrants, black raspberries, and pomegranates. The aim of this review is to assemble these findings, to list the implied mechanisms of action, and thereby point out promising subjects for research in this field, in the hope that compounds obtainable from natural sources such as berries may be used someday to treat, or even prevent, viral infections.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".