Copolymerization of <i>n</i>‐Butyl Acrylate and Styrene: Terminal vs Penultimate Model
Bibliographic record
Abstract
The batch solution copolymerization of styrene and n‐ butyl acrylate over a range of styrene feed compositions is analyzed by in situ 1 H NMR to monitor individual and overall monomer conversions, as well as by 13 C NMR and size exclusion chromatography (SEC)/multi‐angle light scattering (MALS) for the branching density and molecular weight, respectively. Both the terminal and penultimate models, using rate coefficients taken from the literature, fail to predict the full extent of the reduced overall copolymerization rate observed when the styrene composition in the feed is increased. After estimation of uncertain model parameters, the terminal model provides a good representation of the experimental dataset. The estimated overall efficiency of the initiator decreases (from the typically employed 0.65 to 0.35) and the cross‐termination increases from the values corresponding to the geometric mean of the homopolymerization termination rate coefficients. image
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".