Selection of Herbal Plants to Increase the Human Body's Immunity Using the Weighted Product Method
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
This research aims to evaluate and select the most effective herbal plants in improving the human immune system using the Weighted Product method. A strong immune system is very important to protect the human body from various infections and diseases. In this study, we collected data on various herbal properties relevant to immune enhancement, such as active compound content, safety, availability, and cost. The Weighted Product method is used to calculate the relative score for each herbal plant based on existing criteria. The results showed that several herbal plants had high scores and were identified as potential options for improving the human immune system. In addition, this research also provides information about factors that need to be considered in selecting herbal plants, including cost, availability, and relative effectiveness. These findings can help individuals and health professionals in choosing the most suitable herbal plants to strengthen their immune system. This research makes an important contribution to efforts to improve human health and quality of life through the effective use of herbal plants.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it