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...
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".