Structure and bioactivity of Ti/bioactive glass ‘changing landscape coatings’
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Porous titanium alloy–bioactive glass composite coatings were produced via flame spray deposition. The porous coatings, targeted for bone fixation and orthodontic devices, were made from bioactive glass (45S5) powder blended with one of two titanium powders: commercially pure titanium (Cp-Ti) or titanium alloy (Ti-6Al-4V). The coatings were characterized by cross-sectional quantitative metallography, optical microscopy, scanning electron microscopy, Fourier transform infrared spectroscopy and X-ray diffraction. The porosity and glassy phase distributions were determined by image analysis of optical micrographs, in accordance with ASTM Standard E2109. Selection of Cp-Ti or Ti-6Al-4V alloy, along with alteration of the particle size distribution of bioactive glass, dramatically changed the morphology and phases present within each coating. The consequences on the bioactive response were characterized with immersion testing in simulated body fluid for up to 14 d. The coatings were analyzed for the presence of hydroxyapatite (HA) after testing; HA formation was observed as soon as 7 d for Ti-6Al-4V-based composites, while no formation occurred on Cp-Ti-based composites. HA formation on the negative Ti-6Al-4V control coating was observed after 14 d, while formation was not observed on the Cp-Ti coating, suggesting that the incorporation of bioactive glass into flame-sprayed Ti-6Al-4V alloy coatings enhances bioactivity.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it