Transition Metal Catalysis: Activation of CO2, CâH, and CâO Bonds En Route to Carboxylic Acids, Biaryls, and N-containing Heterocycles
Bibliographic record
Abstract
Transition metal catalysis is a powerful tool for the construction of biologically active and pharmaceutically relevant architectures. With the challenge of continually depleting resources that this generation of scientists faces, it is becoming increasingly important to develop sustainable technologies for organic synthesis that utilize abundant and renewable feedstocks while minimizing byproduct formation and shortening the length of synthetic sequences by removing unnecessary protecting group manipulations and functionalizations. To this end, we have developed four new methods that transform inexpensive starting materials to valuable products. This dissertation covers the following key areas: 1) activation of CO2 for a mild and functional group tolerant synthesis of carboxylic acids, 2) oxidative twofold C–H bond activations as a strategy toward biaryls, 3) migratory O- to N-rearrangements in pyridines and related heterocycles for the preparation of N-alkylated heterocycles, and 4) asymmetric hydrogenations of cyclic imines and enamines en route to chiral 1,2- and 1,3-diamines and macrocyclic peptides.
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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".