Synthesis, Cyclization, and Migration Insertion Oligomerization of CpFe(CO)<sub>2</sub>(CH<sub>2</sub>)<sub>3</sub>PPh<sub>2</sub> in Solution
Bibliographic record
Abstract
Cyclopentadienyldicarbonyl[(diphenylphosphino)propyl]iron (CpFe(CO) 2 (CH 2 ) 3 PPh 2, FpP), containing both Fp and phosphine groups, was synthesized as a difunctional monomer for migration insertion polymerization (MIP). FpP underwent either intra- or intermolecular reactions in solution. When a solution with low FpP concentration (ca.1% by weight) was left at 25 °C, FpP was quantitatively converted to the five-membered-ring species 1 via CO release. On the other hand, when a solution at the same low concentration was heated to 70 °C in the dark, an intramolecular migration insertion reaction was promoted, leading to a high conversion of FpP (ca. 70%) to the six-membered cyclic Fp acyl derivatives 2 . At the same temperature with an increase in the concentration of FpP to 10% by weight, intermolecular MIR became predominant (ca. 90%) with a low yield of ring molecules (ca. 10%). Solution polymerization of FpP (ca. 20% by weight) was therefore performed at 70 °C, which generated both THF-soluble and -insoluble macromolecules via intermolecular migration insertion reactions. The resulting macromolecules were fully characterized by using FT-IR, solution- and solid-state 31 P, and 13 C NMR. The soluble macromolecules exhibit a molecular weight of ca. 4200 with a PDI value of ca. 1.24, as characterized by GPC. A kinetic study shows that the polymerization follows a step-growth mechanism.
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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) | 0.001 | 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".