Inaugural Maximum Values for Sodium in Processed Food Products in the Americas
Bibliographic record
Abstract
Reducing dietary salt/sodium is one of the most cost-effective interventions to improve population health. There are five initiatives in the Americas that independently developed targets for reformulating foods to reduce salt/sodium content. Applying selection criteria, recommended by the Pan American Health Organization (PAHO)/World Health Organization (WHO) Technical Advisory Group on Dietary Salt/Sodium Reduction, a consortium of governments, civil society, and food companies (the Salt Smart Consortium) agreed to an inaugural set of regional maximum targets (upper limits) for salt/sodium levels for 11 food categories, to be achieved by December 2016. Ultimately, to substantively reduce dietary salt across whole populations, targets will be needed for the majority of processed and pre-prepared foods. Cardiovascular and hypertension organizations are encouraged to utilize the regional targets in advocacy and in monitoring and evaluation of progress by the food industry.
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.
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 | 0.041 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".