Diversity of fibers in common foods: Key to advancing dietary research
Bibliographic record
Abstract
Dietary fibers are plant-derived carbohydrates and associated components, that are not digested within the human upper intestinal tract/gut. Traditionally they are classified based on their solubility in water i.e., soluble dietary fiber (SDF) and insoluble dietary fiber (IDF). The SDFs are generally regarded as fermentable by the microbiota, primarily within the large intestine. Dietary fibers are considered health-promoting food components that have profound impacts on different diseases such as diabetes, cancer, cardiovascular, and inflammatory bowel diseases. Although the majority of studies published to date have examined low fiber or high fiber in diets, or soluble versus insoluble fiber at best, the functionality of dietary fiber subtypes has been proven beyond those definitions. These subtypes include β-fructans, β-glucans, pectin, arabinoxylans, etc., which are further subdivided, and each differs in its molecular structure, composition, and functions, which have unfortunately been largely overlooked to date, particularly in clinical research. Inconsistent evidence regarding dietary fibers is brought on by a combination of variable measurement methods and unreliable documentation of fiber sources in manuscripts (e.g., ripeness, cultivar, growing conditions). This highlights the importance of expanding knowledge to explore dietary fiber subtypes and the complexity of their individual interactions with both host and microbiota within the human gut and beyond. This study will review the quantified content of dietary fiber subtypes elucidated by biochemical research studies to develop a readily accessible platform for future nutritional studies.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".