Synthesis and migration insertion polymerization (MIP) of CpFe(CO)<sub>2</sub>(CH<sub>2</sub>)<sub>6</sub>PPh<sub>2</sub>(FpC6P) for PFpC6P: macromolecule stability, degradability and redox activity
Bibliographic record
Abstract
CpFe(CO)2(CH2)6PPh2 (FpC6P) is synthesized as a monomer for bulk migration insertion polymerization (MIP). Due to the presence of a longer alkyl spacer in FpC6P, intramolecular cyclization reactions, which are observed during the MIP of CpFe(CO)2(CH2)3PPh2 (FpC3P), were completely suppressed under the conditions of the polymerization. The resultant PFpC6P is soluble in common organic solvents and stable enough for GPC analysis. However, the polymer degrades in solution over a few days because the PFpC6P chain is constructed from relatively weak metal coordination bonds. In the presence of an oxidant, e.g. H2O2, degradation of the polymers was accelerated. When the solution was exposed to LED light (wavelength: 400–410 nm), degradation was completed in 20 minutes with CO release first followed by the dissociation of phosphine. DSC analysis indicates that PFpC6P has a Tg of ca. 68 °C, which is lower than that of PFpC3P (ca. 99 °C). TGA analysis reveals that PFpC6P is thermally stable up to 170 °C and leaves a ca. 35.2% char yield at 676 °C after three stages of weight loss. CV data shows that the polymer in DMF has reversible redox activity, with an oxidation peak at 0.74 V and a reduction peak at 0.56 V (relative to a Ag electrode).
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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) | 0.001 | 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 | 0.001 |
| 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".