Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Epoxidation of canola oil was carried out using a peroxyacid generated in situ from hydrogen peroxide and a carboxylic acid (acetic or formic acid) in the presence of liquid inorganic acid, H 2 SO 4 , as catalyst. Acetic acid was found to be a better oxygen carrier than formic acid as it gave about 11% more conversion of ethylenic unsaturation to oxirane than that given by formic acid under otherwise identical conditions. A high temperature of above 65 °C is significantly unfavourable for achieving high oxirane numbers, as the selectivity to oxirane ring opening reaction increases. Higher concentrations (above 0.5 mol/mol of ethylenic unsaturation) of acetic acid, formic acid or hydrogen peroxide are also detrimental (mainly, the carboxylic acids) but much less than that of the temperature effect. From a detailed process developmental study, the parameters optimised were a temperature of 65 °C, acetic acid‐to‐ethylenic unsaturation molar ratio of 0.5, hydrogen peroxide‐to‐ethylenic unsaturation molar ratio of 1.5 and sulphuric acid loading of 2%. A relative conversion to oxirane of 81% and an iodine value conversion of 86.5% were obtained under the optimum reaction conditions. The formation of the epoxide as well as ring‐opened product of canola was confirmed by FTIR and 1 H NMR spectral analysis. From a kinetic analysis, the activation energy of this commercially important reaction was determined to be 10.7 kcal/mol. The findings of this study show that hydroxylated canola oil can be used as a starting material for the lubricant formulations. Copyright © 2010 Curtin University of Technology and John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it