Non-celiac consumer knowledge regarding gluten-free diets
Bibliographic record
Abstract

 BACKGROUND: With the rising trend in gluten-free diets, it is imperative that there is high consumer product literacy so that the public makes informed decisions in regards to their diet and health. Knowledge taken from reputable sources and recognizing unsubstantiated health claims regarding gluten-free diets is critical for a non-celiac consumer. METHODS: A survey was used to investigate why non-celiac consumers elect to follow gluten-free diets and why they believe that the elimination of gluten from their diet is healthy. This project also tested consumer knowledge regarding gluten. RESULTS: During a 2 month period, total of 376 individuals participated in the survey. Only 322 participants fell under the inclusion criteria of this study. Women who elected to participate in gluten-free diets (but did not have Celiac’s Disease themselves) had higher overall test scores and men in the general population had lower overall test scores (p = 0.000017). CONCLUSIONS: Based on overall test scores and percentages of correct responses for specific questions, there seems to be deficiencies in both the average consumer and non-celiac-gluten-avoider-consumer knowledge regarding gluten, gluten-free products and diets.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".