A multiscale approach for the integrated design of emulsified cosmetic products
Bibliographic record
Abstract
This study applies a multiscale approach to the integrated design of emulsified cosmetic products to gain insight on the relationships between phenomena taking place at different scales. This work links the elastic modulus, textural properties, product formulation, and emulsification energy with the emulsion's microscopic structure. Also, this study establishes functional relationships between cosmetic emulsions' rheological and textural properties to gain deeper insight on these systems. Oil-in-water cosmetic emulsions were manufactured by varying the thickener type and concentration, dispersed phase concentration, and agitation rate during the emulsification process. The results indicate that when a specific polymer's concentration is reached, the macroscopic and microscopic properties of the cosmetic emulsions do not exhibit significant variations due to the polymeric matrix that thickeners generate in the continuous phase. According to these results, there is a critical thickener concentration for the design of cosmetic emulsions, which depends on the polymer selected to formulate the product.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".