Polystyrene-<i>b</i><i>lock</i>-polyisoprene Nanofiber Fractions. 1. Preparation and Static Light-Scattering Study
Bibliographic record
Abstract
Block copolymer nanofibers may be viewed as the macroscopic counterparts of polymer chains or supra−polymer chains. Well-characterized nanofiber fractions with narrow length distributions are required to facilitate their study by techniques such as viscometry and dynamic light scattering. Polystyrene- block -polyisoprene (PS- b -PI) nanofibers were prepared in this study by stirring S 2 Cl 2 -treated PS- b -PI films in THF to separate and disperse the cross-linked PI cylindrical domains. Nanofiber fractions were obtained by combining centrifugation fractionation and ultrasonication. These fractions were characterized by transmission electron microscopy to obtain their length distribution functions and static light scattering to yield the weight-average molar masses and z -average radii of gyration. A quantitative analysis of the radius of gyration values revealed that the PS- b -PI nanofibers had a persistence length of ∼200 nm in THF.
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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".