Nano‐Hydroxyapatite and TiO<sub>2</sub> Bioactivated Polymer for Implant Applications
Bibliographic record
Abstract
Polymers have been successfully used for implant applications, however, challenges remain as their design requires a delicate balance between mechanical, chemical, and physical properties to ensure cell survival and tissue formation. Additive manufacturing techniques, such as SLA, offer the opportunity to achieve desired physical and mechanical properties because of the precision and control over architecture. Such control allows manipulation over the distribution of mechanical properties throughout the implant. PMA/HA and PMA/TiO2 solid and porous structures are, therefore, manufactured using room temperature SLA techniques. HA and TiO2 are added to the polymer for bio‐functionalizing purposes. The apatite forming ability of the samples are evaluated using HBSS immersion. All PMA and PMA/TiO2 samples does not show any bioactivity in terms of apatite formation, although limited amounts of CaO is found on PMA surfaces. PMA/HA samples demonstrate bioactivity with newly formed apatite formation observed after 3 and 5 week HBSS immersion.
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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) | 0.002 | 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".