Beneficial Effects of Bioactive Compounds Obtained from Agro-Industrial By-Products on Obesity and Metabolic Syndrome Components
Bibliographic record
Abstract
The generation of agro-industrial by-products is an economic and environmental problem. However, these raw materials could be a suitable source for obtaining bioactive compounds for technological or nutritional purposes. On the other hand, obesity and metabolic syndrome prevalence are in continuous growth. The classical approach of hypocaloric diet and exercise has shown little long-term adherence. Thus, there is an unending search for new strategies to prevent and treat obesity and related metabolic alterations. In that sense, the revalorization of agro-industrial by-products for functional foods and nutraceutical development has gained relevance. Pomegranate, onion, and grape by-products, among others, have been described as promising raw materials for bioactive compounds obtention. Nevertheless, scientific evidence on the effects of specific sources and bioactive compounds on obesity models and clinical trials is needed. This article aims to show available data from studies on the effect of bioactive compounds obtained from agro-industrial by-products on obesity and metabolic syndrome components.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".