Overconsumption of sugar-sweetened beverages: Why is it difficult to control?
Bibliographic record
Abstract
The consumption of sugar-sweetened beverages is a known contributory factor of childhood obesity that is documented around the globe. More importantly, reducing the consumption of sugar-sweetened beverages could reduce weight gain among overweight or obese children. Although sugar is present in many natural foods, artificial sugar is added into sugar-sweetened beverages, which has little or no nutritional value. However, the calories obtained from the sugar-sweetened beverages are linked to overweight and obesity, and an increase serving sizes of sugar-sweetened beverages over the years partly contributed to the alarming rise of childhood obesity around the globe. The sugar-sweetened beverages not only contain a high amount of sugar, but also contain a high amount of phosphate, and the possibility exists for an enhancing dual adverse health effects of sugar and phosphate. Increasing health awareness and limiting marketing approaches targeted towards the younger population are essential to reduce long-term health burdens that are linked to the overconsumption of sugar-sweetened beverages.
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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 | 0.010 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".