Bibliographic record
Abstract
Moringa oleifera Lam. Lam. A crop of the tropical and subtropical countries is grown universally as food, fodder and medicine. The seed, leaves, roots and flowers are often used in traditional medicine products in human food. Some studies using powdered leaf preparation of Moringa oleifera have demonstrated anti-dyslipidaemic and antidiabetic activities. Different studies have shown that hydro alcohol and aqueous activities such as antihypertensive, antiulcer, antioxidant, immunomodulation and analgesic actions. Phenolic, polyphenols, alkaloids and flavonoids are responsible for the observed effect commercial production, processing and utilization of this wonder crop is gaining momentum in many of the countries due to its multifaceted uses. The aim of this research paper was to review Moringa oleifera as a potential tree for its wide range of uses. Therefore, there is an urge to focus research on the uses of moringa leaves that can be value added. This research work would serve as a background for future research programmes in post-harvest management and value addition in moringa.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".