Vitamin D as a modifiable risk factor in critical illness: questions and answers provided by observational studies
Bibliographic record
Abstract
Vitamin D is essential to optimal health. Studies dating back to the early 1900’s convincingly demonstrate that a state of vitamin D deficiency, acquired through limited sun exposure and avoidance of vitamin D-rich foods can lead to stunted growth, bone disease, and hypocalcemic seizures. Over the past few decades, a rising body of epidemiological literature has also suggested that vitamin D deficiency predisposes to a wide variety of disease states outside of the musculoskeletal system. For example, vitamin D status has been associated with diseases involving dysregulation of the immune (type I diabetes, cancer), cardiovascular (heart failure, cardiomyopathy), and respiratory systems (bronchiolitis, pneumonia). Strong biological plausibility supporting these epidemiological findings has been provided, including basic science studies showing the presence of vitamin D receptors on a large number of diverse cell types (e.g. white blood cells, myocytes), and animal studies demonstrating disease occurrence in genetically(vitamin D
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.003 |
| 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".