MétaCan
Menu
Back to cohort
Record W3175084684

India’s Globally Important Sterculia urens Roxb. in Crisis: Critical Insights into Conservation, Prospects and Challenges

2020· article· en· W3175084684 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicZiziphus Jujuba Studies and Applications
Canadian institutionsImpact
Fundersnot available
KeywordsEthnomedicineGeographyBiodiversity conservationPopulationAgroforestryBiodiversityEcologyBiologyMedicinal plantsSociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.232
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it