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Record W4200287002 · doi:10.36953/ecj.2021.22348

Comparative analysis of phenolic content in Solanum indicum L. harvested from different locations of Madhya Pradesh state of India

2021· article· en· W4200287002 on OpenAlexfundno aff
Hari Om Saxena, Ganesh Pawar, G. R. Rao, Ved Ram Sahu, P. L. Dhar

Bibliographic record

VenueEnvironment Conservation Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsnot available
FundersIndian Council of Forestry Research and EducationTerry Fox Research Institute
KeywordsPlateau (mathematics)SolanumThreatened speciesHorticultureBotanyBiologyEcologyMathematicsHabitat

Abstract

fetched live from OpenAlex

Phenolics are well distributed secondary metabolites in the plant kingdom and cure various ailments in human beings. In the present study, total phenolic (TP) and caffeic acid (CA) contents in fruits, leaves and stem of Solanum indicum species collected from different locations of Madhya Pradesh state of India were studied. Results showed the following trend for TP and CA contents; fruits> leaves> stem. Fruits (28.52±0.29) from Chhindwara & Betul area (Satpura plateau agroclimatic region) contained maximum TP content trailed by leaves (16.29±0.07) and stem (11.79±0.03) belonging to Amarkantak area (Northern Hill’s Zone of Chhattisgarh agroclimatic region). CA content was observed maximum in fruits (0.0192±0.00) followed by leaves (0.0187±0.01) and stem (0.0154±0.01) of Seoni area (Kymore Plateau & Satpura Hills agroclimatic region). The variation in the populations will be helpful for in-situ as well as ex-situ conservation of this reagionally threatened dashmool species and its further utilization in Ayurvedic formulations.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.265
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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