Bibliographic record
Abstract
Polyvinyl chloride(PVC) was chemically modified with polyhydromethylsiloxane(PHMS) via reactive processing in a Haake Rheomix 600P mixing mill. Two kinds of PHMS with different contents of Si-H (202 #PHMS and 206 #PHMS) were used to reduce the maximum torque( TQ max ) of PVC. On increasing the 206 #PHMS amount, the equilibrium torque( TQ eq ) of PVC increased slightly and passed through a maximum at 0 2 phr of 206 #PHMS. In contrast, the TQ eq of PVC modified with 202 #PHMS increased continuously with increase in 202 #PHMS content. Furthermore, the gelating melting time for PVC modified with 202 #PHMS was shorter than that for PVC with 206 #PHMS. With addition of PHMS the equilibrium temperature( T eq ) of PVC increased firstly and then decreased. PHMS was able to decrease not only the total energy( TTQ eq ) consumed in the reactive processing but also the consumption rate of energy in the initial period of the reactive processing.
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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 | 0.001 |
| 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".