Theoretical insights into bone grafting silicon-stabilized α-tricalcium phosphate
Bibliographic record
Abstract
Silicon-stabilized tricalcium phosphate (Si-TCP) is an excellent bone graft substitute being totally resorbed by the body and replaced by natural bone. Experimental studies show that coatings and bulk ceramics based on this material have superior bioactivity not existing in traditional hydroxyapatite materials. However, the mechanisms through which Si and other dopants affect the properties are not known. We have performed ab initio density functional calculations to investigate the effect of Si dopants on these materials. The results show that Si2O7 species can be formed with weak binding in bulk alpha-TCP with an oxygen vacancy for charge compensation, and that 2SiO4 substitution for a pair of PO4 groups with an excess Ca2+ for charge compensation also leads to a stable structure. With an increase of Si concentration, the former is less bound and the latter becomes more stable, and is a good candidate for the form of Si in Si-stabilized alpha-TCP. The stability of the Si-substituted TCP seems to be determined by the P-P distance of the pair of PO4 groups to be replaced before substitution. The Si-doping leads to a pronounced change in the Ca-O bond lengths, and has little effect on the P-O bonds.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".