Manufacturing and Sensorial Acceptance of Cereal Bars Enriched with Flaxseed (Linum usitatissimum) Flour
Bibliographic record
Abstract
There is increasing demand from consumers for foods with functional properties. These foods, in addition to presenting adequate nutrient levels, provide beneficial health effects thus helping to prevent numerous diseases. Among the functional foods, the flaxseed (Linum usitatissimum), belonging to the family Linaceae, is of great nutritional value. This oleaginous is rich in proteins, lipids, lignans and fibers. Consumers have preference on cereal bars for being practical, healthy and with low calorie density when proper combinations of ingredients are used. This work had as objective the production and sensorial evaluation of cereal bars enriched with flaxseed flour. Two formulations, denominated S.01 and S.02, respectively added with corresponding 5% and 10% flaxseed flour, respectively, were prepared. The physico-chemical analyzes comprised moisture and ash contents. The cereal bars were sensorially evaluated by 50 untrained testers by using the nine-point hedonic scale including attributes of flavor, texture and overall acceptance, besides intention of purchase. The averages from the sensorial evaluation were between 7 and 8, indicating, with purchasing preference of about 90%, which was considered a high acceptance rate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".