Valorization of plant proteins for meat analogues design—a comprehensive review
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
Abstract Animal proteins from meat and its stuffs have recently been one of main concerns in the drive for sustainable food production. This viewpoint suggests that there are exciting prospects to reformulate meat products that are produced more sustainably and may also have health benefits by substituting high-protein nonmeat ingredients for some of the meat. Considering these pre-existing conditions, this review critically reviews recent data on extenders from several sources, including pulses, plant-based components, plant byproducts, and unconventional sources. We used the related keywords from Scopus-database without limiting the publishing date. With an emphasis on how these findings may impact the sustainability of meat products, it sees them as a great chance to enhance the functional quality and technological profile of meat. Therefore, to promote sustainability, meat alternatives such as plant-based meat equivalents are being made available. To boost consumer acceptability of these goods, further initiatives should also be developed to enhance the functioning of these innovative food items and increase public knowledge of plant-based meat analogues.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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