7. New Tools for the Diagnosis of Celiac Disease
Bibliographic record
Abstract
This book will give you up-to-date information on the basic and clinical aspects of gluten-related disorders, the evolution of grains, bread and gluten-free products covering the necessary integration of the different fields which until recently were considered separate. To achieve a common platform, this book has three sections. The first section deals with chapters explaining the immune response to the toxic peptides of gluten as well as new approaches in treatment. The second section revises the advances made in the clinical spectrum of the gluten-related disorders. The third section explores the evolution of gluten, bread products and the great challenge to elaborate gluten-free products of high quality. The technological improvements in this field will produce gluten-free foods, less expensive than at present available in food stores. The authors are recognized investigators, active in the field of gluten-related disorders and the evolution of gluten-free products. The information provided is essential for celiacs, non-celiac gluten- sensitive persons, Patient Associations of gluten-related disorders, physicians and the food industry. It will be of help to clinical and research scientists in clinical medicine, immunology and pathology, to professionals in nutrition and gluten-free products, to the regulatory authorities, to food chemists and their technologists.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.024 |
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".