Synthesis of no‐glycerol biodiesel through transesterification catalyzed by CaO from different precursors
Bibliographic record
Abstract
Abstract Three component mixtures of canola oil, dimethyl carbonate, and methanol, catalyzed by suspended calcium oxide (CaO) particles, produced a biodiesel that required little further processing. Only the catalyst particles needed to be recovered and reused. Substrates for the CaO were laboratory‐grade acetate, hydroxide, oxalate, and carbonate compounds of calcium heated to temperatures ≥ 850 °C at which calcination is complete. The catalyst substrate and conversion process determined the effectiveness of the catalyst for high product yields. CaO derived from calcium carbonate exhibited morphological characteristics that included larger contact surface areas, and thus more reactive sites, compared to the other precursors. Moreover, with only 0.17 μg/g (0.017 %) free glycerol present in the produced biodiesel, the biodiesel can be used directly without further treatment.
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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) | 0.000 | 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 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".