Bibliographic record
Abstract
Introduction and Definition: Celiac Disease (CD) is an autoimmune disorder affecting the small intestine, triggered by an abnormal immune response to gluten, a protein found in wheat, barley, and rye. Although its roots date back to the 2nd century AD, the condition was first identified by English physician Samuel Gee in 1888, who hypothesized dietary changes as beneficial. Today, the National Institute of Diabetes and Digestive and Kidney Diseases defines CD as "a chronic digestive and immune disorder that damages the small intestine". CD affects about 1% of the global population, yet about 80% of cases go undiagnosed. This significant underdiagnosis highlights the need for greater awareness and research, as delayed diagnosis can cause complications and reduce quality of life. Causes: Gluten consumption in individuals carrying the HLA-DQ2 and HLA-DQ8 genetic alleles causes inflammation in the small intestine, leading to villous atrophy (damage to nutrient-absorbing villi). Beyond genetics, environmental factors such as early-life gluten exposure, gastrointestinal infections, frequent early-life illnesses, and microbiome (digestive bacteria) changes may contribute to disease onset in some cases. Symptoms and Diagnosis: CD symptoms vary widely, ranging from digestive issues like diarrhea and bloating to nutrient malabsorption problems like anemia, as well as systemic effects including osteoporosis, mental health issues, and reproductive problems. Timely diagnosis can prevent complications and often begins with blood tests to detect elevated levels of antibodies, followed by biopsies of the small intestine to confirm villous atrophy. Treatment and Management: The only current treatment for CD is a lifelong gluten-free diet, essential for healing the small intestine and alleviating symptoms. While vitamin and mineral supplements may help manage deficiencies, they do not heal the intestine. Effective management involves educating patients about CD, providing regular medical monitoring, and offering support for the social and emotional challenges associated with the condition. Current Research: Ongoing research explores enzyme therapies, vaccines, and microbiome-targeted treatments to supplement the gluten-free diet. Latiglutenase, a combination of enzymes that break down gluten, shows promise in reducing intestinal damage and symptoms from accidental gluten exposure, a common issue for patients. It is being considered as a possible additional therapy for CD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.021 |
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".