Regulatory framework for "gluten-free" foods in India: Magic bullet for celiac disease patients
Bibliographic record
Abstract
Coeliac disease (CD) remains largely unrecognized and actual burden is much more than reported or diagnosed. The treatment essentially remains 'gluten free' foods. Adulteration of these foods with gluten can occur anywhere in the chain from farm to fork. The current Food Safety and Standards Regulations (FSSR) 2011 brought a ray of hope for CD patients by including prevention of contamination of food with gluten and labeling of gluten-free items under regulatory framework. The definition of gluten-free includes food items containing <20 ppm of gluten. These guidelines are at par with those given in USA and Canada. These regulations provide a reference point for manufacturers, physicians, and CD patients and ensure easy availability, accessibility, and identification of gluten-free food items. This step forward by Government of India constitutes the first comprehensive step taken toward management of the disease.
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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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".