Heterocyclic Addition Reactions during Low Temperature Autoxidation
Bibliographic record
Abstract
Low temperature air oxidation affects many aspects of the fuels business: weathering, storage stability, hardening, and fouling. Addition reactions taking place during the autoxidation of different heterocyclic compound classes were studied at 130 °C. This investigation reports on the conversion, product selectivity, nature of addition products, and plausible mechanisms that would explain the observations subsequent to the oxidation of indole, 2,3-dihydroindole, quinoline, benzofuran, 2,3-dihydrobenzofuran, and thianaphthene. Of these, indole is known to be prone to oxidative addition. Among the five-membered heterocyclic compounds, the propensity to form oxidative addition products increased in the order: S ≪ O < N. Addition took place mainly through C–C bond formation. In comparison to hydrocarbons, it was surprising to find that indole and 2,3-dihydroindole were less prone to oxidative addition than the five-membered naphtheno-aromatic hydrocarbon analogues indene and indan. On the basis of the work, some implications for low temperature oxidation processes, and free radical processes in general, are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 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 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".