Equilibrium and Dynamic Properties of Surface Gels Formed by Rigid-Rod Polypeptide Poly(γ-<i>n</i>-hexyl-α,<scp>l</scp>-glutamate)
Bibliographic record
Abstract
Normal and shear forces acting in surface gels of rigid-rod polypeptide poly(γ- n -hexyl-α, l -glutamate) (PHLG) were studied using surface force balance with shear capability. The polymer was adsorbed to hydrophilic and hydrophobic surfaces providing strong and weak polymer−surface interactions, respectively. It was found that in both cases PHLG formed surface gels whose properties were dominated by polymer−surface rather than polymer−polymer interactions. On bare mica, PHLG formed a thick compact surface network whose properties were characterized by effective viscosity. In contrast, the surface gel formed on the hydrophobized surface had a weak structure and shear in this gel was dominated by surface slip. When long-time shear or high-velocity shear was applied to the adsorbed PHLG layers, the polymer underwent shear thinning, consistent with the nature of physical gel.
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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 | 0.000 |
| 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".