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Record W2996322062 · doi:10.1111/1541-4337.12517

Hempseed in food industry: Nutritional value, health benefits, and industrial applications

2019· review· en· W2996322062 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueComprehensive Reviews in Food Science and Food Safety · 2019
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
Fundersnot available
KeywordsCannabis sativaFood industryBiotechnologyBusinessHealth benefitsFood processingNutraceuticalMarketingFood scienceBiologyMedicineTraditional medicine

Abstract

fetched live from OpenAlex

Hemp (Cannabis sativa L.) seeds have been consumed in Asian communities since prehistoric times. Recently, Australia, Canada, and the United States have legalized the cultivation and consumption of hempseed at low (<0.3%) tetrahydrocannabinol levels, and there's a growing interest in hempseed due to its nutritional value and pharmaceutical potential. This review aims to summarize the chemical composition, nutritional value, and potential health benefits of hempseed, as researched via in vitro and in vivo trials. The application of hempseed in the food industry is limited due to its poor performance on some functional properties, so the latest processing methods developed to improve these properties were compared. Additionally, manufacturing technologies incorporating hemp seeds into existing food products are also elaborated. This review would promote further in-depth research on this recently approved food resources and maximize its utilization in new food product development.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.255
GPT teacher head0.367
Teacher spread0.112 · 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