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 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".