Study on the Diversity of Common Medicinal Plants in Zhang County of Gansu Province
Bibliographic record
Abstract
Zhang county is known as 'the millennium rural medicine',knowing the local medicinal resource is the basis for developing medicinal plants.The common resources of medicinal plants in Zhang county based on literature study and expeditionary survey were calculated in this study.The results showed that there were 385 species of medicinal plants belonging to 275 genera and 99 families,in which 304 species were herbs,48 species were shrubs,28 species were magaphanerophytes,5 species were lianas;dominant families were Composiatae,Rosaceae,Ranunculaceae etc,and dominant genera were Artemisia and Polygonum etc.Many parts of medicinal plants could be used as medicinal materials,which were mostly grasses and roots.Therefore,consideration to update of resources should be given to make sure regeneration of resources when collecting the medicinal plants and lay the foundation for the sustainable utilization of medicinal plant.
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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 | 0.001 | 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) | 0.001 | 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".