Nutritional factors and influence on body build.
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
Nutrition is to ensure nutrients needed to sustain life activity, healthy growth and reproduction. Good healthy food can improve the quality and length of life. Positive effects intensify if the diet is combined with other elements of a healthy lifestyle: fresh air, physical activity, rest, avoiding toxic substances and a good mental state. In the Czech Republic there are changes in eating habits in the last 20th years. The food consumption was a major coup in the volume and in the structure. Changes occurred in the availability of food from seasonal to year-round became available in grocery stores are spread in our fast food intake, and thus the sweet soft drinks. The number of sedentary jobs and reduce the physical activity. Obesity is defined as weight gain above the physiological limits due to accumulation of fat reserves. It is considered epidemic 20th and 21 century. Obesity and being overweight is associated with a high risk of major chronic disease, which is related both to the degree of obesity, but also the distribution of body fat. The prevalence of obesity and overweight is increasing rapidly in developed societies (USA, Canada, Australia etc.). The problem is mainly the growth of the health problems in children and adolescents. It is therefore necessary to increase the prevention of...
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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