Improving the Industrial Feasibility of Metal-Free Hydrogenation Catalysts Using Chemical Scavengers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A modified process using inexpensive poison scavengers has been developed that allows for more economical and practical scale-up of metal-free catalytic hydrogenation. The scavengers remove impurities such as water and aldehydes that can hinder catalysis allowing for the use of commercial-grade solvents, substrates and gases. In addition, the scavengers have the unique ability to regenerate poisoned catalysts, allowing for increased turnover numbers and longer catalyst lifetimes. Hydrogenations of unpurified imine substrates proceed with high yield using a variety of metal-free hydrogenation catalysts, demonstrating the general compatibility of this process.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it