Assessment Biodiversity of Medicinal Plants Used in Treatments for Native People in Adrar, Algeria
Bibliographic record
Abstract
Medicinal plants are well known to natives and healers of the Adrar province located in the south of Algeria. These plants are used for medical purposes seasoning, cooking, and also by the researchers studying biology, chemistry, and pharmacology for discovering new molecules of medicaments applying in the treatment of diseases. This study aims to gather information related to utilizing therapeutic plants for health needs from the local populace. This research allowed us to identify fifty species used by the local population. The most common among these are the Asteraceae and Lameleacea and the highest use values were recorded for the species Thymus vulgaris, Mentha piperita, Ocimum basilicum, while the highest Fic was observed for the respiratory diseases. It also allowed us to familiarise ourselves with the methods and practices and the therapeutic uses of medicinal plants in the region. It was noted that the most used parts were the leaves, followed by the flowers. Furthermore, the most common method was found to be an infusion, followed by a decoction. This study confirmed that the Adrar region has several plants that are medicinal purposes and are used for the treatment of many diseases.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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 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".