A vitamin D intervention in preschoolers with viral-induced asthma: A pilot randomised controlled trial (DIVA)
Bibliographic record
Abstract
classified according to quartiles of DF intake.Results: The majority of adults consumed DF (97%) and median serves consumed was 3.9/day.Half (50%) of all REO contained a DF.The REO with the most DF consumers were 'lunch' and 'dinner'; which together contributed 45% of total DF energy intake.Cakes, muffins, scones, caketype desserts ('cakes') contributed the most DF energy (8.4%).Top contributor to DF energy for males was beer (10.9%) and for females was 'cakes' (10.1%).Pastries provided the highest DF energy contribution among lowest SES; and wine among highest SES.DF contributed 49.4% of total sugar and 42.2% of total saturated fat.The top quartile of %en from DF consumed an average of 10 ± 4.5 DF serves, had a higher prevalence of males, younger adults, low SES and higher mean waist circumference but not higher BMI.Conclusions: A focus on decreasing consumption of the largest contributors to DF may be useful to decrease saturated fat and sugar intakes, especially during lunch and dinner and amongst the highest consumers.
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 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".