The nutrient profile of traditional Lebanese composite dishes: comparison with composite dishes consumed in France
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To estimate the overall nutritional quality of traditional Lebanese dishes by calculating their nutrient profile. METHODS: Fifty traditional Lebanese composite dishes (LD) were compared with 50 composite dishes consumed in France (FD), based on the SAIN (score of nutritional adequacy of individual foods) and LIM (score of nutrients to be limited) nutrient profiling system. Each dish was attributed to one of four nutrient profiling classes based on their SAIN and LIM values. The dishes' distributions within the four classes and their content in selected nutrients and ingredient groups were compared. RESULTS: LD had a better nutrient profile than FD (P <0.001). LD were richer in vitamin C and contained less proteins, saturated fatty acids, and sodium. They contained more vegetables and unrefined starches and less cheese and refined starches than FD. CONCLUSIONS: Nutrient profiles may help identify those composite dishes whose consumption should be encouraged to promote healthy eating in Lebanon.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".