Synthesis of β‐myrcene/glycidyl methacrylate statistical and amphiphilic diblock copolymers by SG1 nitroxide‐mediated controlled radical polymerization
Bibliographic record
Abstract
ABSTRACT Bulk nitroxide‐mediated polymerization (NMP) of β‐myrcene (My)/glycidyl methacrylate (GMA) mixtures with varying GMA molar feed fraction (fGMA,0 = 0.10–0.91) was accomplished at 120 °C, initiated by SG1‐based alkoxyamine bearing a N‐succinimidyl ester group (NHS‐BlocBuilder). Low dispersity My/GMA copolymers (Đ < 1.56) with slight number‐average molecular weights (Mns) deviations from predicted values (Mn,theo with Mn/Mn,theo > 70%) were obtained. The copolymerization was revealed to be statistical, confirmed via Fineman–Ross (rMy = 0.80 ± 0.31 and rGMA = 0.71 ± 0.15) and Kelen‐Tüdös (rMy = 0.48 ± 0.12 and rGMA = 0.53 ± 0.18) approaches. Glass transition temperature (Tg) of the statistical P(My‐stat‐GMA)s increased from −77 to +43 °C as the GMA molar fraction incorporated (FGMA) increased from 0.10 to 0.90. High SG1 chain‐end fidelity for My‐rich and GMA‐rich P(My‐stat‐GMA)s was assessed by phosphorus nuclear magnetic resonance (31P NMR, SG1 fraction >69 mol %) and chain‐extensions in toluene with My, GMA and styrene (S) (monomodal shift in Mn). Last, diblock P(My‐b‐GMA) was made and treated with morpholine to produce amphiphilic copolymer able to self‐organize into micelles. © 2018 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2018, 56, 860–878
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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".