Exploiting Photochemical Processes in Multi‐Step Continuous Flow: Derivatization of the Natural Product Clausine C
Bibliographic record
Abstract
Abstract The synthesis and derivatization of carbazoles based upon the natural product clausine C has been accomplished using two different two‐step continuous processes. The resulting carbazoles (9 examples, 33–74 % yield) were prepared by means of a continuous flow set‐up integrating a UV‐mediated transformation employing a purple LED reactor ( λ =394 nm) as the first step in the multi‐step sequence. The second derivatization step involved cross‐coupling through Pd‐catalyzed Suzuki cross‐coupling or Ni‐catalyzed metallophotoredox cross‐coupling with potassium trifluoroborate salts. The latter represents the first example of using sequential photochemical reactors, at different wavelengths, in a continuous flow process.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".