Experimental and theoretical correlations in (Z)-C-aryl-N-methylnitrones
Bibliographic record
Abstract
Nitrones are an interesting group of organic compounds due to their spin-trapping properties. These chemical compounds are also useful building blocks via cycloaddition reactions. In this work, a comprehensive study about correlation of selected parameters come from quantum chemical and experimental studies, namely 1H chemical shifts, IR absorption bands and UV-Vis maximum absorptions as well as reactivity descriptors such as global electrophilicity and nucleophilicity with substituent constants of Hammett, Taft, Brown and Okamoto's as well as Exner for para substituent analogues of (Z)-C-phenyl-N-methylnitrones have been study. Based on presented results it should be noted that tested models of substituent constants correlate in a satisfactory way with computational data. The opposite conclusion is observed for spectral data derived from analysis performed for synthesized nitrones. The obtained results constitute a useful element for future research on reaction mechanisms involving the tested nitrones.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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".