DERIVE – Development of Riboflavin biomarkers to relate dietary sources with status, gene-nutrient Interactions and Validated health Effects in adult cohorts – & VALID – Valerolactones and healthy Ageing: LInking Dietary factors, nutrient biomarkers, metabolic status and inflammation with cognition in older adults
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
DERiVE: Sub-optimal riboflavin status may be more widespread than is generally recognised across the developed world, because of the reliance on dietary data only in nutrition surveys, without biomarker evidence. DERIVE will address this gap by developing accessible riboflavin biomarkers for use in population surveys globally, and by demonstrating important functional, gene-nutrient and health effects of optimal riboflavin status in Canadian, Irish and UK cohorts.<br/><br/>The proposed study will access bio-banked blood samples (collected under the JINGO initiative http://www.ucd.ie/jingo/) and data from one the most comprehensive dietary surveys in the EU, the Irish National Adult Nutrition Survey (www.iuna.net) as well as bio-banked specimen and data from the BC Generations Project (www.bcgenerationsproject.ca), part of the Canadian Partnership for Tomorrow Project, a major research platform for the study of disease causation.<br/><br/>VALID: Polyphenols, particularly procyanidins (abundant in foods such as tea, cocoa, grapes, nuts and berries), may be beneficial in maintaining better cognitive function in ageing, but investigating their role in relation to health is hampered by the lack of robust biomarkers of dietary intake. We will validate novel plasma biomarkers of procyanidin-rich foods and link them with inflammation, metabolic health and cognition in an ageing European population.<br/><br/>VALID draws on the TUDA cohort, a unique resource on 5200 adults aged 60-102 years recruited from the UK and Ireland, providing a range of biomarkers and health measures. Apart from performing new analysis on bio-banked TUDA samples, we will access 'TUDA 5+', a follow-up study of 1000 participants from the original cohort 5 years after initial investigation, to determine the role of procyanidin-rich foods in preventing cognitive decline over a 5-year follow-up period.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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