Effects of Catalyst Bioproducts on In-Office Whitening: A Randomized, Split-mouth Clinical Analysis
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
OBJECTIVES: To compare conventional hydrogen peroxide (H2O2) whitening therapy (CT) applied for 45 minutes with a test therapy (TT) containing H2O2 whitening gel and catalyst bioproducts applied for 15 minutes. METHODS: Thirty patients and their hemiarches were randomly divided into two groups: CT: application of 35% H2O2 three times for 15 minutes; test therapy (TT): based on the prior application of a polycaprolactone scaffold and the addition of 10 mg of peroxidase to the 35% whitening gel (3 drops of thickener, 9 drops of peroxide and 10 mg of peroxidase) for an exposure time of 15 minutes.The two treatments were carried out in three whitening sessions, 7 days apart. The chromatic change (ΔE00) and the bleaching index (ΔWID) were analyzed by spectrophotometry. Spontaneous sensitivity was assessed through a questionnaire, and thermal sensitivity was provoked through thermal stimuli after the three sessions and 14 days later. Esthetic self-perception was also measured using the Orofacial Esthetics Scale before and after each session. RESULTS: After the first session, CT exceeded TT in ΔE00 and ΔWID, whereas they were equal at the other time points. Greater intensity and occurrence of spontaneous sensitivity occurred in the first and second sessions with CT. The CT group experienced thermal sensitivity at higher temperatures than the TT group at all times analyzed. Esthetic self-perception was higher (66.6%) in the TT group. CONCLUSION: The test therapy can achieve the same whitening effect with less total exposure time and less tooth sensitivity than the conventional technique.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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