Polynorbornenes Containing Ferrocene Derivatives and Alkyne‐bis(tricarbonylcobalt)
Bibliographic record
Abstract
Coordination of dicobalt hexacarbonyl to the alkyne moiety of norbornene complexes containing either ferrocene or η(6) -chlorobenzene-η(5) -cyclopentadienyliron hexafluorophosphate, gave two unique trimetallic complexes available for ROMP. Polymerization of each monomer using Grubbs second generation catalyst gave organoiron/organocobalt polynorbornenes with weight average molecular weights between 55 300 and 69 000 with PDIs between 1.2 and 1.9. Cyclic voltammetric studies of the monomers and polymers at -40 °C showed a reversible reduction for cationic complexes containing η(6) -benzene-η(5) -cyclopentadienyliron and for the dicobalt hexacarbonyl moieties while, a reversible oxidation for the ferrocene containing complex was observed. Thermal analysis showed that the cobalt carbonyl moiety of the polymers degraded near 130 °C; however, the polymeric backbone was stable up to 350 °C. Scanning electron microscopy (SEM) and SEM-EDS indicated that the polymers possessed a fine globular morphology and that the distribution of iron and cobalt atoms was homogenous on the macro-scale.
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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) | 0.002 | 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".