Nutrition and the early origins of adult disease
Bibliographic record
Abstract
There is now overwhelming evidence that much of our predisposition to adult illness is determined by the time of birth. These diseases appear to result from interactions between our genes, our intrauterine environment and our postnatal lifestyle. Those at greatest risk are individuals in communities making a rapid transition from lives of 'thrift' to a lives of 'plenty'. From a global perspective, such origins of diabetes, coronary heart disease and stroke, should render research in these fields as one of the highest priorities in human health care. Prevention will be enhanced by elucidation of the mechanisms by which the fetus is programmed by the mother for the life she expects it to live. At the present time, there is evidence that fetal nutrition and premature exposure to cortisol are effective intrauterine triggers, but a multitude of alternative pathways require investigation. It is also likely that programming extends across generations, and may involve the embryo and perhaps the oocyte. An oocyte that becomes an adult human develops in the uterus of its grandmother, so further research is required to describe the role of environments of grandmothers and mothers in predisposing offspring to health or illness in adult life.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".