Preparation of silicon‐based soybean base oil by modified soybean oil by transesterification and hydrosilation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A new green lubricating base oil was synthesized from soybean oil and triethyl silane by a combination of transesterification and hydrosilylation. The factors affecting the process of hydrosilylation were thoroughly investigated. AlCl 3 /C catalyst as catalyst for hydrosilylation showed better catalytic performance, and a higher yield of 36.79% was obtained under optimal condition of molar ratio of transesterified soybean oils/triethyl silane (1:1.1), reaction temperature 120°C, and reaction time 8 h. In addition, the performance of silicon‐based soybean base oil was tested according to industry standards. Compared with soybean oil, silicon‐based soybean base oil was obtained with high viscosity index, good pour point of −17°C, and excellent wear characteristic.
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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