The association of vitamin D related variables with 25-hydroxyvitamin D.
Bibliographic record
Abstract
B205 Background: Vitamin D is a hormone that regulates bone development, metabolism, cell growth and calcium homeostasis. Main sources of vitamin D include exposure to sunlight, fortified milk, certain types of fish, and vitamin D-containing supplements. There is accumulating evidence to suggest that vitamin D may be associated with reduced risks for several types of cancer including colon, prostate, and breast. We examined the relationship between vitamin D-related questions administered in a telephone interview questionnaire and circulating levels of 25-hydroxyvitamin D (25(OH)D). Methods : The relationship between vitamin D and breast cancer was investigated in a population-based case-control study. Validation of serum 25(OH)D for 203 of the 1135 randomly selected controls was conducted. The association between 25(OH)D and variables in a summer and winter telephone interview questionnaire was assessed. Questions pertaining to sun exposure and dietary sources of vitamin D over the previous month were asked alongside potentially confounding variables. Multivariate linear regression was used to assess these associations in the summer and winter. Results : Both models were adjusted for age, body mass index and skin colour. Overall sun exposure (number of days when more than half an hour was spent outdoors per week) (97 days9 vs. 9
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".