Rationalization of Diels–Alder reactions through the use of the dual reactivity descriptor Δf(r)
Bibliographic record
Abstract
In this work, the dual descriptor of chemical reactivity, an electronic density-based index, is used to study both the regioselectivity and the stereoselectivity of Diels-Alder reactions. The descriptor has been designed to simultaneously delineate the nucleophilic and electrophilic sites within a molecule. Subsequent pairing between the nucleophilic and electrophilic regions of the reagents predicts the major adducts in all cases studied. Specifically, the descriptor predicts the generation of a ortho-regioisomer when a diene monosubstitued at position 1 by an Electron Donating Group (EDG)/Electron Withdrawing Group (EWG), reacts with a dienophile monosubtituted by an EWG/EDG. Under the same conditions, if the diene is monosubstituted by either an EWG or an EDG at position 2, formation of the para-oriented adduct is predicted. This approach also provides insight into the stereoselectivity. For example, secondary interactions between the non-reactive regions of the reactants explain why the endo stereoisomer is preferred.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".