Impact of a cream formulated in the presence of red algae essential oil on the inhibition of freckles: dermatological and scientific approach
Bibliographic record
Abstract
The objective of this study is to optimize the formulation parameters of a stable biocream based on red algae essential oil. The purpose of formulating this cream is to evaluate its effectiveness in treating skin problem such as ephelides. Red algae are marine plants widely found in the waters of the Algerian coasts, rich in fatty acids, minerals and many vitamins. These substances are real candidates that help nourish, moisturize and improve the quality of the skin. The optimization of formulation parameters containing red seaweed essential oil as active substance combined with other natural additives, allowed to obtain a stable cream with organoleptic and rheological criteria Interesting. The processing of the different parameters with the Modde 6.0 software shows the effect of adding shea butter on the viscosity of the cream. The study of the effect of the application of the cream formulated on volunteers with skin problems such as ephelids showed a remarkable reduction in freckles on their skin.
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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 | 0.000 |
| 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) | 0.002 | 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 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".