Quantifying the Effect of Polyethylene Molecular Weight, Comonomer Fraction, and Comonomer Type on High-Temperature Thermal Gradient Interaction Chromatography
Bibliographic record
Abstract
High-temperature thermal gradient interaction chromatography (HT-TGIC) can be used to measure the chemical composition distribution of ethylene/α-olefin copolymers using a column packed with porous graphitic carbon. It is generally assumed that polymer molecular weight plays a secondary role in HT-TGIC fractionation, but this assumption is incorrect for lower-molecular-weight polymers. In this article, we developed a general calibration curve to quantify the effect of polymer molecular weight, α-olefin fraction, and type (1-hexene, 1-octene, and 1-decene) on HT-TGIC peak temperatures and discussed its implications on converting HT-TGIC profiles into chemical composition distributions.
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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".