MétaCan
Menu
Back to cohort
Record W4391463928 · doi:10.53555/sfs.v10i1s.2113

Chia seed: a super food for human health

2023· article· en· W4391463928 on OpenAlexvenueno aff
Ishani Ganguly, Prajna Das, Madhumita Ghosh, Sampurna Chakraborty, Disha Paul, Priyanka Paul, Souvik Tewari

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsHuman healthBusinessEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Chia seed (Salvia hispanica L.), grown and consumed as a staple food by Aztecs in Mexico, has now become one of the world's popular ‘superfoods’. It is becoming one of the most important seeds of 21st century because of their functional and nutritional properties. It is a rich source of Polyunsaturated Fatty Acid and a sustainable source of Omega-3 fatty acids. Proper intake of Chia seeds provides protective action against cardiovascular disease, obesity, gastrointestinal diseases, improves immune health etc. Chia seeds contain a large amount of soluble fiber which helps to reduce the bio accessibility of lipids such as cholesterol and glucose. Now-a-days foods are fortified with Chia seeds in making food diversity such as breads, breakfast cereals, yogurts, smoothies etc. It is claimed that proper intake of Chia seeds with a balanced diet and moderate exercise can help to maintain body weight, prevent obesity, and sustain proper well-being. This review article will be summarized about the nutritional value of chia seeds and its beneficial effects on human health as a superfood.

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)0.003
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 score0.025
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.284
GPT teacher head0.291
Teacher spread0.007 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Survey in Fisheries SciencesSame topicSeed and Plant BiochemistryFrench-language works237,207