Polyferrocenylsilanes: Metal-Containing Polymers for Materials Science, Self-Assembly and Nanostructure Applications
Bibliographic record
Abstract
Polyferrocenylsilanes represent a recently established, readily accessible class of transition metal-containing macromolecules consisting of alternating ferrocene and organosilane units. High molecular weight, soluble samples of these materials were first prepared in the early 1990's by thermal ring-opening polymerization (ROP) of silicon-bridged [1]ferrocenophanes ([1]silaferrocenophanes). More recently living anionic and transition metal-catalyzed ROP methodologies have been developed, which permit unprecedented access to controlled polymer architectures (e.g. block copolymers) with transition metals in the main chain. Polyferrocenylsilane homopolymers and block copolymers offer exciting opportunities in materials and supramolecular science and for nanostructure applications. In this article some recent research areas are discussed which illustrate the broad scope of these interesting new materials.
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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) | 0.004 | 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".