Complementary Methods for the Introduction of the (<i>E</i>)‐3‐(Pentafluorosulfanyl)allyl Chain unto O‐, N‐, S‐, and C‐Based Nucleophiles
Bibliographic record
Abstract
Two methods for the introduction of the (E)‐3‐(pentafluorosulfanyl)allyl chain unto various nucleophiles were investigated: a palladium‐catalyzed Tsuji–Trost reaction of (E)‐ethyl [3‐(pentafluorosulfanyl)allyl]carbonate and a nucleophilic substitution reaction on (E)‐[3‐(pentafluorosulfanyl)allyl] 4‐methylbenzenesulfonate. Various nucleophiles were examined including phenols, aliphatic and aromatic amines, aliphatic and aromatic thiols and malonates. Overall, the two approaches were found to be complementary as the Tsuji–Trost reaction worked better with phenols while the SN2 reaction generally provided better results with the amines. In addition, the sulfur‐based product could only be obtained using the SN2 reaction while the malonates only worked under the Tsuji–Trost conditions.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".