Alkasites, a New Alternative to Amalgam. Report of a Clinical Case
Bibliographic record
Abstract
Background: A new bioactive alternative to amalgam and bulk fill composites has been introduced.The authors present the description, benefits, advantages and a case report of an Alkasite bioactive restorative material. Case Description:The authors present clinical illustrations of the step by step application, from the removal of decay to the final polishing of the Alkasite material on a posterior tooth.The final predictable outcome can justify the use of this bioactive bulk fill material due to its demineralization and remineralization properties, esthetics and excellent handling demonstrating that this is a viable alternative to an amalgam even a composite certain cases. Practical Implications:The clinicians will restore successfully a cavity with a cost effective, bioactive, bulk material and fast application with a satisfactory esthetic and functional result.Summary: Ivoclar Vivadent has launched a new restorative material that belongs to the group of Alkasites materials.The alkaline filler that is contained in its inorganic part, increases the release of hydroxide ions to regulate the pH value during the attacks with acid.As a result, the demineralization can be prevented.In addition, the release of large amounts of fluoride ions and calcium forms a solid basis for the remineralization of tooth enamel.The initiator system allows for a good chemical self cure.This article will examine the clinical characteristics, features, benefits, composition, clinical applications and present a clinical case explaining the technique step by step.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.013 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".