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Record W2015202375 · doi:10.1055/s-2009-1216456

Authentication of Caralluma adscendens var. fimbriata (Wall.) Gravely & Mayur

2009· article· ceb· W2015202375 on OpenAlexfundno aff
VC Joshi, AS Rao, YH Wang, Bharathi Avula, IA Khan

Bibliographic record

VenuePlanta Medica · 2009
Typearticle
Languageceb
FieldMaterials Science
TopicPhytochemistry and Bioactive Compounds
Canadian institutionsnot available
FundersNational Institute on Drug AbuseAgricultural Research ServiceUniversity of British ColumbiaUniversity of Illinois at Urbana-ChampaignChinese Academy of SciencesKurukshetra UniversityUniversity of Illinois at ChicagoNational Oceanic and Atmospheric AdministrationU.S. Food and Drug AdministrationNational Science Foundation of Sri LankaUniversity of ColomboU.S. Department of AgricultureWestern Carolina UniversityInternational Science CouncilNational Center for Complementary and Alternative MedicineChina Academy of Traditional Chinese MedicineNational Institutes of HealthNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesTürkiye Bilimsel ve Teknolojik Araştırma KurumuHong Kong Polytechnic UniversityNational Science FoundationDeutsche KrebshilfeNational Natural Science Foundation of ChinaTata TrustsUniversity Grants CommissionWake Forest University
KeywordsAuthentication (law)SugarTraditional medicineBiologyBotanyMedicineGeographyFood scienceArchaeology

Abstract

fetched live from OpenAlex

Caralluma is an edible succulent plant used by tribes in India to suppress hunger and enhance endurance [1]. It is a new arrival in the family of succulent plants that are becoming increasingly popular for their appetite suppressant and weight loss properties as well as their ability to lower blood sugar. Accurate identity of the raw material is critically important, to ensure the efficacy and safety of these products. Available herbal monographs lack information on Caralluma . The present study, details the macroscopic and microscopic evaluation of Caralluma adscendens var. fimbriata along with details on its distribution and nomenclature. Acknowledgements : This research is funded in part by “Botanical Dietary Supplements: Science-Base for Authentication” funded by Food and Drug Administration grant number FD-U-002071-01. We would like to thank Dr. Aparna Watve and Dr. Gaikwari, from Hi-Tech Bio laboratories, India for providing authenticated plant material. References: [1] Kuriyan R, et al. (2007) Appetite 48: 338–344.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.028
GPT teacher head0.280
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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