Toward Well-Controlled ab Initio RAFT Emulsion Polymerization of Styrene Mediated by 2-(((Dodecylsulfanyl)carbonothioyl)sulfanyl)propanoic Acid
Bibliographic record
Abstract
Reversible addition−fragmentation chain transfer (RAFT) ab initio emulsion polymerization of styrene mediated by 2-(((dodecylsulfanyl) carbonothioyl) sulfanyl) propanoic acid was investigated with sodium dodecyl sulfate (SDS), poly(acrylic acid) 29 - b -polystyrene 5 trithiocarbonate macro-RAFT agent (PAA 29 -PSt 5 -RAFT), and poly(acrylic acid) 29 - b -polystyrene 5 diblock co-oligomer (PAA 29 -PSt 5 ) as the surfactant, respectively. Polystyrene latex having controlled molecular weight, relatively low PD and narrow particle size distribution was obtained by postneutralizing PAA 29 -PSt 5 -RAFT and PAA 29 -PSt 5 . This result was in agreement with the superswelling hypothesis that superswollen oligomer-containing particles caused the colloidal instability in the early stage of RAFT emulsion polymerization with SDS as surfactant. The successes of PAA 29 -PSt 5 -RAFT and PAA 29 -PSt 5 were due to the high interfacial tensions of the styrene/water/surfactant systems that suppressed the superswelling and thus improved the colloidal instability. A majority of the initial RAFT molecules appeared to be converted at a low monomer conversion due to the inhibition period.
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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) | 0.000 | 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".