Synthesis of norbornene derivatives and their polymers via ROMP of norbornene derivatives
Bibliographic record
Abstract
Dicyclopentadiene (DCPD) is a by-product resulting from the ethylene industry, which is high yield and underused in China. A technical route of producing valuable products—norbornene derivatives and their polymers from DCPD—was proposed and studied in this research. 5-Norbornene-2,3-dicarboxylic anhydride, a downstream product of DCPD, was employed as starting material to synthesize norbornene derivatives. Norbornene derivatives, 5-norbornene-2,3-dicarboxylic acid dimethyl ester and 5-norbornene-2,3-dicarboxylic acid diphenylethyl esters, as well as their polymers have broad application prospects in many areas. Ring-opening metathesis polymerization was employed as the polymerization process, and the polymers/copolymers of norbornene derivatives were obtained successfully. The polymerization process of norbornene derivatives was investigated in detail, from which the method for controlling molecular weights and decomposition temperatures of norbornene derivatives copolymers were developed. Till now, the route of generating valuable norbornene derivatives from DCPD was completed finally.
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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) | 0.003 | 0.001 |
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".