Development of All-Natural, Protein-Rich Snacks from imperfect Fruits and Vegetables
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.
Bibliographic record
Abstract
In Ontario, peaches, strawberries, and carrots are often wasted due to spoilage and imperfections. Drying can extend the shelf life of produce and hide imperfections. \nConventional drying methods like spray drying have high energy requirements and waste a portion of each fruit. Foam Mat Drying (FMD) has garnered renewed interest for the development of crisps and powders from fruits and vegetables. It requires less energy and utilizes the whole fruit, making it an excellent drying alternative. \nThe objective of this study was to create a snacking crisp using a low-energy drying method. The crisps were to be high in protein, all-natural, and environmentally friendly. These objectives were obtained by altering ingredients, ingredient ratios and drying temperature. The product was assessed by estimating its organoleptic properties. \nThe results showed that a viable, high-protein crisp can be prepared with all-natural Canada-grown ingredients. The future work will involve scaling up of the process.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 it