Bibliographic record
Abstract
Vitamin D is a prohormone that is essential to good health. As very few foods (fish, egg yolks, milk) are rich in vitamin D, the main source of the vitamin is synthesized in the skin in the presence of ultraviolet B rays from sunlight. However, due to Canada's northern latitude, sufficient amounts of vitamin D cannot be synthesized using sunlight during the fall and winter months and, consequently, there is a concern that many Canadians are not achieving adequate levels of vitamin D. A wide array of inconsistent evidence derived from serum and dietary assessments has been published and the results are inconclusive. This paper serves to outline the issues and challenges regarding nationwide intervention strategies such as fortification to increase vitamin D intake in the Canadian population. Given the potential for excessive intakes and the lack of informed Canadian data, implementing an intervention to increase vitamin D intake in the entire population may be irresponsible; however, further investigation of vitamin D intakes in certain subgroups of the Canadian population is warranted.
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 | 0.065 | 0.147 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".