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Record W2025073469 · doi:10.3109/09637486.2011.575770

Chemical composition, dietary fibre, tannins and minerals of grain amaranth genotypes

2011· article· en· W2025073469 on OpenAlex
A. F. Mustafa, Philippe Séguin, Bruce Gélinas

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Food Sciences and Nutrition · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsMcGill University
Fundersnot available
KeywordsAmaranthTanninChemical compositionComposition (language)GenotypeChemistryFood scienceProanthocyanidinAnimal scienceCondensed tanninBiologyHorticultureBotanyAgronomyPolyphenolAntioxidantBiochemistry

Abstract

fetched live from OpenAlex

The objective of this study was to determine the chemical composition of 28 white and coloured grain amaranth (Amaranthus spp.) genotypes. Neutral detergent fibre (NDF) concentration was greater while strach concentration was lower for coloured seeds genotypes than white seeds genotypes. Total dietary fibre followed a similar trend to that observed for NDF. Total tannin concentrations ranged between 20.7 and 0 g/kg with total and hydrolysed tannin concentrations being higher for white than for coloured seeds genotypes. Coloured seeds genotypes contained higher Mg and Ca concentrations than white seeds genotypes. However, seed colour had no influence on K, Na and P concentrations. Copper and Fe were the most variable micro-minerals in the evaluated genotypes with no significant effect of seed colour on the concentration of either mineral.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.087

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.036
GPT teacher head0.233
Teacher spread0.196 · 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