Bibliographic record
Abstract
Renal osteodystrophy (ROD) is a skeletal disorder that affects patients with end-stage renal disease (ESRD). Studies have demonstrated that trace elements can influence skeletal metabolism; therefore, we hypothesised that trace elements, namely fluoride, magnesium and aluminum, retained by ESRD-patients due to their renal deficiencies may alter bone quality in ROD. Results of the present study revealed that trace elements do influence bone in ROD. Fluoride interfered with bone mineralization to increase osteoid, which was most evident in osteomalacia and mixed bone disorder. Magnesium appeared to influence bone turnover in aplastic bone disorder through suppression of parathyroid hormone (PTH), leading to a change in bone mineralization and microhardness. Furthermore, aluminum may exacerbate the effects of fluoride and magnesium in ROD. Lastly, magnesium and aluminum were associated with symptoms of ROD (bone pain and proximal myopathy); therefore, it is of clinical interest to further investigate the roles of trace elements in ROD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| 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 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".