Factors Affecting the Size of Aqueous Poly(vinylphenol-<i>co</i>-potassium styrenesulfonate)/Poly(ethylene oxide) Complexes
Bibliographic record
Abstract
The diffusion properties of complexes formed between poly(ethylene oxide) (PEO) and poly(vinylphenol- co -styrenesulfonate) (PKS) in aqueous medium were investigated by diffusion ordered NMR (DOSY), fluorescence photobleaching recovery (FPR), and viscosity measurements. All three techniques showed that PEO/PKS complexes range from single PEO coils with bound PKS molecules to large complex species containing many PEO chains. For a given PKS structure, there are two important transitional PEO molecular weights. The lowest one, ∼8000 Da, corresponds to the onset of PEO/PKS complex formation. The second transitional PEO molecular weight is between 10 5 and 10 6 Da and corresponds to the onset of multi-PEO chain complex species which are important for flocculation. PKS functions as a physical cross-linking agent for PEO. If there is too little PKS, multiple PEO chains are not bound together. Similarly, high concentrations of PKS give small complexes because there are few opportunities for connecting multiple PEO chains together, since all the PEO chains are saturated with bound PKS.
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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 | 0.002 |
| 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 | 0.001 | 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".