Note: Effects of adding a viscosity-increasing 2 nm-size molecule on dielectric relaxation features and the dynamic heterogeneity view
Bibliographic record
Abstract
To investigate the extent to which dynamic heterogeneity determines the relaxation features, we studied the effect of adding a viscosity-increasing, ∼2 nm size polyhederal oligomeric silsesquioxane (POSS) molecule on dielectric relaxation. Addition of POSS increased the relaxation time of the α-process, τ(m,α), and decreased the non-exponential response parameter, β, which is compatible with the dynamic heterogeneity view. But β varied monotonically with the composition, and there was little variation of β with the temperature, which seems incompatible with that view. Effects of adding nm-size particles in simulations may reveal how the size of dynamically heterogeneous regions affects τ(m,α) and β.
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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) | 0.000 | 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".