MEDICINAL PLANTS USED BY TRADITIONAL HEALERS OF PUNJAB, PAKISTAN
Bibliographic record
Abstract
This study is aimed to document the indigenous knowledge of medicinal plants used by traditional healers of Punjab, Pakistan. The medicinal uses were documented by semi structured interview of the registered herbalists & relevant literatures were also reviewed. The data was collected by visiting the study area from Feb 2013 to August 2013. All traditional plants having therapeutic activity were crosschecked with existing literature on ethno botany. In our data about 150 indigenous plant species, which belongs to 55 families were documented along with their local names, part used and the use value of each species. This Data showed that highest number of plants used by local community belongs to Asteraceae Family. In our data Syzygium cumini (L.) Skeels has the highest use value that is 1 and the plants with lowest use value (0.2) are Eclipta alba (L.) Hassk, Ruellia tuberose L., Aerv javanica (Burm.f) juss. It is concluded from data that our study area possesses a variety of indigenous medicinal plants that are widely used by hakims, herbalists for primary health care of local community of Province Punjab, Pakistan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".