The effect of Calcium and Sodium Intake on Bone Health
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
Bone health gets more and more attention in the younger population since the peak bone mass will be achieved during one’s childhood and adolescence. Bone mineral density (BMD), an important indicator, is commonly used to indicate overall bone health. The development of BMD is critical during the growth period, which could contribute to less incidence of osteoporosis as people get old. Osteoporosis is one of the most common bone diseases, which could lead to other health complications. In addition to other factors affecting bone health such as physical activity and hormones, nutrition is the most important factor of bone health. Calcium (Ca) and vitamin D (VD) act hand in hand. The absorption of dietary calcium is highly affected by VD. Different hormones regulate Ca homeostasis and balance in the body. Moreover, bone remodeling is tightly regulated to conserve bone integrity. The bone formation is tightly coupled to the resorption. Dietary intake of sodium (Na) cannot be ignored as well. High intake of Na is negatively associated with bone health. The DASH diet with low sodium intake positively affects bone mineral density to some extent.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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