Rating of dual-cure composite cements by adhesion strength
Bibliographic record
Abstract
Taking into account the demand by patients, the issues of improving the aesthetics of a smile with the use of veneers are becoming more and more relevant. The increased service life of veneers is to a certain extent due to the adhesive strength of composite cements. Materials and methods. Double-curing composite cements "Diamondbrite Multi Cure Composite cement", "Panavia F 2.0", "Totalcem", "Variolink Aesthetic DC", "Flowfix DUO", "Compofix", "Compofix + primer" were accepted for the assessment of adhesive strength. These cements were applied to the ends of cylinders made of zirconium oxide stabilized with yttrium oxide "Ext" 3D-PRO. Under the influence of light, the cements polymerized, and the resulting structures were loaded until they collapsed. Results. According to GOST R 56924-2016, sufficient AP was demonstrated by cements Totalcem - 17.391.09 MPa, Panavia F 2.0 - 19.031.44 MPa, Diamondbrite Multi Cure Composite cement - 20.550.78 MPa, and Flowfix DUO - 21.001.20 MPa. Statistical differences in AP in this group are unreliable. Compofix cements 37.102.50 MPa demonstrated high AP (statistical differences in AP between Flowfix DUO and Compofix are significant: (t 5.81; p=0.000021), Variolink 37.702.21 MPa, Compofix+ Primer 41.782.78 MPa. Statistical differences in the AP index in the group of cements with high AP are unreliable. Discussion. It cannot be said that cements with high AP significantly increase the service life of veneers, since violations of the aesthetics of a smile are possible even with a firmly fixed veneer. An example of this can be situations with the formation of discoloritis due to the dissolution of fixing cement, the appearance of caries on the tooth surface not covered with veneer, and the subsequent change in the optical properties of the veneer in the projection of the tooth hard tissue dimensionalization. For this reason, the multicomponent concept of performance characteristics of double-cured composite cements requires further study.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".