Small-Molecule Diffusion through Polycrystalline Triglyceride Networks Quantified Using Fluorescence Recovery after Photobleaching
Bibliographic record
Abstract
Fluorescence recovery after photobleaching (FRAP) has been used to quantify Nile red diffusion through five different triglyceride crystal networks composed of pure peanut oil (PeO), pure chemically interesterified fully hydrogenated palm oil (IHPO), two blends of PeO and IHPO blended in different mass ratios (70:30 and 30:70%, w/w), and pure cocoa butter. Calculated components from FRAP experiments (effective diffusion coefficient (D(eff)) and mobile fraction (Mr)) were correlated with crystal network structural characteristics (crystalline mass fraction and permeability coefficient) and illustrated that D(eff) can be predicted using this tool. Higher-permeability coefficients found for higher fractal dimensions, lower volume fraction of solids, and larger average particle sizes were significantly correlated to higher D(eff).
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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 | 0.000 | 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) | 0.000 | 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".