Effect of Gel Content on Polymer Diffusion in Poly(vinyl acetate-<i>c</i><i>o</i>-dibutyl maleate) Latex Films
Bibliographic record
Abstract
We used energy transfer experiments to examine the rates of polymer diffusion in latex films of two P(VAc−DBM) copolymer samples: one of nominal M w = 250 000 (by GPC, M 250K ) and the other, the high- M sample, with a substantial (50%) gel content. An important feature of this sample is that its sol fraction had a similar molecular weight distribution (similar GPC curves) to that of the M 250K sample. Films of both samples exhibited the viscoelastic response at high frequencies expected for entangled polymers. At low frequencies, the G ‘ and G ‘ ‘ values for the high- M sample were comparable in magnitude over a wide range of frequencies and were proportional to ω 0.5 . This type of behavior is often seen as a signature of a critical gel but appears here for a mixture of gel and randomly branched polymer. Our most important finding is that the rates of intercellular polymer diffusion were very similar in latex films of the two polymers. This result indicates that the diffusion rate depends primarily on the molecular weight and degree of branching of the diffusing species and is much less sensitive to the cross-linked nature of the matrix present in one of the samples.
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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 | 0.001 |
| 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".