Nutrient essentiality revisited (LB407)
Bibliographic record
Abstract
The objective of this project was to present case studies providing supportive rationale for expanding the definitions and criteria for nutrient essentiality. An environmental scan was conducted for terms used to describe food constituents which may not be considered essential in the traditional sense, yet still provide additional health benefits. A panel of international experts reviewed classic and emerging criteria for essentiality and examined various food constituents not currently considered to be essential, but which possess desirable health effects. The panel considered fiber and plant sterols as good candidates for case studies and presented evidence to justify expanding the list of food constituents regarded as meeting criteria for essentiality. Fiber and plant sterols, although not considered essential for growth, development or survival, were deemed by the panel as essential for sub‐populations such as hypercholesterolemic groups. Furthermore, fiber in the form of prebiotics was regarded as essential as a foodstuff for part of the gut microbiotia. In summary, existing categorization of nutrients as essential needs to be expanded to reflect advances in current science, as well as evolving definitions of the concepts of essentiality. A review of non‐classical compounds, now known to have bioactivity, should be considered for their potential essentiality. Grant Funding Source : Supported by: Danone Institute International, Palaiseau, France
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.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".