Kiri Sharp The NZ Coeliac Health Survey Masters of Dietetics
Bibliographic record
Abstract
Coeliac disease (CD) is a multi-system autoimmune enteropathy caused by an inappropriate immune response to certain storage plant proteins known as gluten. Gluten is found in wheat, barley, rye and triticale. The autoimmune response causes damage to the gut resulting in gastrointestinal and non-gastrointestinal symptoms. Untreated CD leads to malabsorption resulting in nutritional deficiencies and long term damage including an increased risk of intestinal lymphomas. The only treatment is removal of gluten from the diet, which in most cases, allows a full mucosal recovery and return to full functionality. In New Zealand the prevalence of CD is about 1%. However, there is little information on the health of people with CD in New Zealand. This study aims to fill that gap. Methods: The eligible study population was members of Coeliac New Zealand Incorporated who had an email or postal address. 2,200 members were invited by email and 500 members by postal letter to complete a questionnaire online or a paper copy. The questionnaire was adapted from the Canadian Celiac Health Survey and consisted of 10 sections investigating demographics, health, diagnosis, diet, quality of life issues, associated medical conditions, CD and associated medical conditions among relatives and recommendations. Data from completed postal surveys were entered, and all results collated in Excel. The results were analysed using STATA. Proportions and means were calculated as appropriate.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".