Differential Scanning Calorimetry in the Study of Lipid Phase Transitions in Model and Biological Membranes
Bibliographic record
Abstract
Differential scanning calorimetry (DSC) is a relatively rapid, straightforward, and nonperturbing technique for studying the thermotropic phase behavior of hydrated lipid dispersions and of reconstituted lipid model or biological membranes. However, because of the diversity of lipid thermotropic phase behavior, data-acquisition and data-analysis protocols must be modified according to the nature of the phase transition under investigation. In this chapter, the theoretical basis of the DSC experiment is examined and, with the aid of specific examples, also how the information content of DSC thermograms is affected by the nature of the lipid phase transition examined. The overall goal is to provide practical guidelines for the development of data-acquisition and data-analysis protocols, which are compatible with the instrumentation available and the nature of the lipid phase transition under investigation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".