Grafting of a Molecular Rhenium CO <sub>2</sub> Reduction Catalyst onto Colloid-Imprinted Carbon
Bibliographic record
Abstract
An aminophenethyl-substituted [Re(2,2′-bipyridine)(CO)3Cl] catalyst ([Re(NH2-bpy)]) was tethered to nanoporous colloid-imprinted carbon (CIC) electrode surfaces via an electrochemical oxidative grafting method. Hybrid CIC|[Re(NH2-bpy)] electrodes showed an improved stability and an increased loading per geometrical area in comparison to modified smooth glassy carbon electrodes. The catalyst also remained active upon immobilization, and CO2 was selectively reduced to CO by the CIC|[Re(NH2-bpy)] electrodes in acetonitrile with a Faradaic efficiency of 92 ± 6% and a Re-based TON of approximately 900.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".