Influence of coating bath chemistry on biomimetic calcium phosphate coatings
Bibliographic record
Abstract
Magnesium alloys are an emerging class of biodegradable medical implant materials. However, control of their degradation rate and biocompatibility are key issues that need to be addressed prior to their use in clinical applications. In this article, a two-step method to biomimetically deposit corrosion-resistant calcium phosphate coatings on magnesium alloy AZ31 is described. A decrease in the overall dissolution of the magnesium substrate of up to 99·8% was observed for the coated samples in comparison with non-treated magnesium AZ31. Surface characterization of the coatings was performed by attenuated total reflectance–Fourier transform infrared spectroscopy, scanning electron microscopy, energy-dispersive spectroscopy and X-ray photoelectron spectroscopy. The results indicate that the composition, morphology and corrosion resistance of the biomimetic calcium phosphate coatings depend strongly on the coating bath composition.
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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) | 0.000 | 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".