Revisiting the superaromatic stabilization energy as a local aromaticity index for excited states
Bibliographic record
Abstract
Abstract The graph theory of aromaticity is a useful framework for analyzing the aromatic properties of polycyclic aromatic hydrocarbons. We present here the magnetically based superaromatic stabilization energy (m‐SSE) as a local aromaticity index and validate it against its topologically based counterpart t‐SSE. By comparing to DFT‐computed aromaticity indices of triplet state excited polybenzenoid hydrocarbons, we find that semi‐quantitative agreement can be reached by using the variable method to account for bond‐length alternation. The m‐SSE can further be separated into orbital and circuit contributions to gain insight into the basis of the aromatic properties of individual rings. Fully automated algorithms for calculating both m‐SSE and t‐SSE are now available in the COULSON package. We envision that these graph theoretical aromaticity indices will be of great use to the community to analyze the local aromaticity of excited states.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".