Review: calcium supplementation, with or without vitamin D, prevents osteoporotic fractures in people ⩾50 years of ageCommentary
Bibliographic record
Abstract
B M Tang Dr B M Tang, University of Sydney, Penrith, New South Wales, Australia; benjamin@clubsalsa.com.au In patients ⩾50 years of age, does calcium supplementation, with or without vitamin D, prevent osteoporotic fractures? ### Data sources: Medline, EMBASE/Excerpta Medica, Current Contents, CINAHL, Database of Abstracts of Reviews of Effects, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews (all to January 2007); clinical trials repositories; resource websites; conference abstracts; review articles; and bibliographies of primary studies. ### Study selection and assessment: published or unpublished randomized controlled trials (RCTs) in any language that compared the effects of calcium, with or without vitamin D, with placebo on fractures or bone-mineral density (BMD) in patients ⩾50 years of age. Exclusion criteria were use of dietary calcium as …
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) | 0.001 | 0.000 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".