Ethanol dehydration system by SiftekTM polymeric membrane.
Bibliographic record
Abstract
ETHANOL is very important renewable energy to Brazil and several companies are improving their technologies by developing processes to increase the benefits of ethanol compared to fossil sources. The Siftek TM polymeric membrane is a technology that can save between 35 and 70% of energy when compared with conventional processes. The first pilot plant (Tiverton, Canada) operated dehydrating grain-based ethanol from 80– 90 wt% ethanol to 99.2 wt%, showing the good performance of the membrane system. With the goal of testing the system in a commercial capacity, a second plant (Chatham, Canada) was built and operated with success, drying grain-based ethanol from 40–60 wt% ethanol to 99.5 wt%. To demonstrate this technology to Brazilian ethanol producers, a third demonstration unit was built and operated in ethanol plants from sugarcane. The results confirmed the excellent selectivity of the membrane system to water, dehydrating ethanol from 85–93 wt% to higher then 99.5 wt%, with lower energy consumption and preserving product quality.
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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) | 0.002 | 0.002 |
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".