Extractive denitrogenization of liquid model fuel using polyethylene glycol methyl ether 350
Bibliographic record
Abstract
Abstract In the present study, we studied the effectiveness of the water‐soluble polymer polyethylene glycol methyl ether 350 (PEG ME‐350) on the extraction of nitrogen‐containing heterocyclic compounds—quinoline and indole—from n ‐hexane. The dependences of the quantitative characteristics of the extraction of N‐compounds on the contact time of the phases, the content of PEG ME‐350 in the n ‐hexane–water system, the initial concentration of nitrogen‐containing heterocyclic compounds in the organic phase, and the volumetric ratio of the phases were obtained. It has been established that PEG ME‐350 is an effective extractant in the process of stepwise extraction of quinoline and indole, and the mechanisms of their extraction have also been proposed and proven. The results can be further used in the purification of light hydrocarbon fractions from nitrogen‐containing heterocyclic compounds.
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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) | 0.000 | 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) | 0.001 | 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".