Novel application and industrial exploitation of winery by-products
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
Grape is the largest fruit crop worldwide and the grape pomace is an important solid waste generated from pressing and fermentation processes in wine industries. Wine industry residues are rich in bioactive compounds and, in this case, the utilization of grape by-products for alternative uses has been a focus of research. The aim of the present project is to present the primary benefits of winemaking by-products to new products focusing on grape pomace, as well as to discover novel applications in food industry, cosmetics, pharmaceutical, agricultural, livestock fields and in energy recovery systems. Moreover, new green technologies for valuable components recovery will be summarized. Recognizing emerging technologies, researchers would have the opportunity to promote development of value-added products and high-quality applications in different markets and sectors recycling of winery by-products or even side streams. This study presents the main bioactive components of grape pomace, along with new current extraction pathways, targeting the decrease of negative environmental impact in parallel to functional added value applications.
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) | 0.000 | 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