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Phenolic Contents and Antioxidants Activities in Jamman Fruit (Eugenia jambolana) Products

2011· article· en· W2067763967 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2011
Typearticle
Languageen
FieldNursing
TopicFood Science and Nutritional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSquashDPPHChemistryCultivarAntioxidantAntioxidant capacityFood scienceBerryPulp (tooth)HorticultureBotanyBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, total phenolic contents and antioxidant activity were determined in various products made from two cultivars of jamman fruit (Eugenia jambolana) i.e. improved (V1) and indigenous (V2). Five products were made from each cultivar such as jam, squash, ready-to-drink juice, pulp powder and seed powder. Fruit cultivars were endogenous to the typical region of Sindh-Pakistan. Total phenolic contents were analyzed by Folin-Ciocalteu colorimetric method, whereas, the total antioxidant activity was analyzed by using the 2, 2-diphenil-1-picrylhydrazyl radical scavenging capacity (DPPH) assays. The highest total phenolic contents and antioxidants were observed in freeze dried seed powder while the lowest contents were found in squash.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.123
GPT teacher head0.343
Teacher spread0.220 · 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