<i>t</i>Bu<sub>3</sub>P/ZnR<sub>2</sub> (R=Et, I) Frustrated Lewis Pair Catalysts for Functionalization and Reduction of CO<sub>2</sub>
Bibliographic record
Abstract
Abstract The functionalization and reduction of CO2 are important targets not only because of concerns about its accumulation or the impact of this greenhouse gas on Earth’s climate, but also because of its potential as a C‐1 feedstock. In this work, both functionalization and reduction of CO2 were performed using tBu3P/ZnR2 (R=Et, I) “frustrated Lewis pairs” (FLPs). Phosphine‐catalyzed carboxylation of alkyl‐Zn bonds and catalytic reduction of CO2 using silanes as hydride sources and tBu3P/ ZnR2 (R=Et, I) FLPs as catalysts are reported. This is also the first time Zn‐based FLP chemistry in functionalization of CO2 is reported.
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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".