Coexisting Phases in PEGylated Phosphocholine Membranes: A Model Study
Bibliographic record
Abstract
Understanding the phase behavior of PEGylated phosphocholine membranes is becoming increasingly important in many biomedical applications. Here, we used binary mixtures of phosphocholines and PEG-phospholipids in monolayers on phosphate buffered saline as ideal models of PEGylated phosphocholine membranes. Several phase states and transitions between homogeneously mixed and completely immiscible phases have been visualized in these mixtures by epifluorescence microscopy, which is neither predicted nor easily explained by the existing interpretive schemes. The results of our study suggest that the phase state of PEGylated phosphocholine membranes may drastically vary depending on factors such as aliphatic chain length on phosphocholines and PEG-phospholipids, PEG content, and temperature. These findings are summarized in phase drawings and diagrams to demonstrate a striking variety of possible phases. The diagrams can also be instrumental in predicting the phase state of PEGylated phosphocholine membranes, in particular under physiological conditions.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".