India’s Globally Important Sterculia urens Roxb. in Crisis: Critical Insights into Conservation, Prospects and Challenges
Bibliographic record
Abstract
In the contemporary world of global climate change, conservation of plant resources is a priority area of research. India, being a mega-biodiversity centre, maintenance of phyto-diversity to avoid population and taxonomic extinctions requires substantial inputs. Usage of Sterculia urens Roxb. among tribal of India has prominently observed in recent literature. Besides, enormous phytochemicals, declining population, decreasing the production of gum, very little research and development are seen in favour of this species. Efforts are required in India to foster research and development for clinical trials and exploration of S. urens in the field of medicine. Moreover, there are numerous applications of S. urens in ethnomedicine documented by authors, which lacks validation and can be sourced as a lesser expensive medicine. The present review provides a comprehensive summary of the past research and immediate need for the conservation of S. urens, within the national perspective.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".