Hacia el desarrollo de alternativas sostenibles al combustible diésel: síntesis de 1,1-dimetoximetano (OME1) a través de catálisis bifuncional
Bibliographic record
Abstract
Disminuir el impacto ambiental derivado del uso de combustibles fósiles necesita el desarrollo de fuentes de energía renovables, y la producción sostenible de combustibles líquidos. Los éteres de oximetileno (OMEs), son compuestos oxigenados que han surgido como una potencial alternativa para sustituir el combustible Diesel. El uso de estos éteres en los motores disminuye la formación de hollín y óxidos de nitrógeno (NOx) durante la combustión. Dentro de esta familia de compuestos, el 1,1-dimetoximetano (OME1) tiene especial interés, no solo por su uso como solvente industrial o como intermediario químico, sino, también porque puede ser usado como materia prima para la producción de OMEs de cadena larga. La síntesis directa de OME1 involucra la oxidación selectiva de metanol sobre catalizadores bifuncionales, los cuales han sido objeto de estudio durante las últimas décadas. Este trabajo resume las principales características de los distintos sistemas catalíticos desarrollados, los cuales juegan un papel fundamental para la producción comercial del 1,1-dimetoximetano.
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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".