Riboflavin mediated photo-illumination for bonding zirconia to tooth structure
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
To formulate and characterize RF-loaded mesoporous silica nanoparticles (RF@MSN) in adhesive for bonding zirconia ceramic to tooth for potential application in crowns and bridge restorations. RF was loaded inside MSN to produce RF@MSN and doped with adhesive resin. Morphological and spectral characterization of the nanoparticles were studied. RF@MSN in adhesive with two varying concentrations (0.25wt.% and 0.5 wt.%) were studied for the degree of conversion (DC), antimicrobial activity, cytotoxicity, and shear bond strength (SBS) after luting zirconia to tooth dentin samples. After activation with a diode laser, 0.5 wt.% RF@MSN samples showed the least DC scores (39.56 ± 5.54), while the highest SBS scores (1018 ± 78 MPa) were reported by control group. 0.5 wt.% RF@MSN samples showed the highest antimicrobial capacity for adhesive against Streptococcus mutans. Incorporation of RF@MSN in dentin adhesive showed improved mechanical and antibacterial efficacy after photo illumination after bonding zirconia to the tooth structure.
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 | 0.001 |
| 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 it