The Influence of Low-Carbohydrate and Low-Fat Diet on Cardiovascular Disease
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
It has become a consensus that low fat diet is the key to lose weight and keep slim. This study is important for obese and overweight individuals, who are at increased risk of CVD. The reduction of total fat in food is directly related to the reduction of individual cholesterol level and blood pressure, which also reveals the beneficial role of low-fat diet in preventing the risk of heart problems. Low-carb diets and low-fat diets can both help to lower the risk of CVD, but there’s no direct link between them. The basic mechanism is to improve other factors like hypertension and obesity which can be altered by healthy diets. Cutting back on saturated fatty acids can lower heart problems and stroke risk, because less cholesterol and saturated fats re consumed. Therefore, it is essential for us to eat correctly and healthily and take more exercise to prevent happening of CVD.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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