Jenkins Study Does Not Refute Bfr Statement On The Needlessness Of Diabetic Foods
Bibliographic record
Abstract
In a new study, the Canadian researchers Jenkins et al. again review the effects of diets for individuals suffering from diabetes mellitus type 2. In the study, the effects of a low-carbohydrate diet with a low glycaemic index (GI) compared with a diet high in dietary fibre on the health of patients were examined. 210 diabetics (diabetes mellitus type 2) received one of the two diets for six months. The risk factors for high blood glucose level and cardiovascular diseases were studied. From their results, the authors of the study conclude that GI diet has a positive effect on the development of the condition and prevents cardiovascular diseases. In past opinions, the Federal Institute for Risk Assessment (BfR) has assessed the necessity of diabetic foods from a nutritional physiological point of view. The Institute has come to the conclusion that these are unnecessary. Rather, diabetics should follow the same nutritional recommendations that healthy people follow. The BfR has therefore assessed the Jenkins study to see whether it is contrary to the BfR statement that diabetics do not need special foods. The BfR therefore does not consider the glycaemic index to be a suitable instrument based on which nutritional recommendations should be made.
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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 | 0.087 | 0.163 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".