Investigation on the Application of Syrup in Beer Brewing by High Concentra tion Techniques
Bibliographic record
Abstract
Beer brewing by high concentration techniques started in1970s in the United States and Canada and now the techniques were popular in European and American.The method had the following superiorities:1.it could improve the utilization rate of sacchar-ifying facilities and fermentation facilities so that the production cost greatly saved;2.it could reduce energy consumption and produc-tion cost;3.it could increase the conversion rate of sugar components;4.it could improve non-biological stability of beer and beer quality;5.the addition of dilution water,malt extractive,wort extractant and syrup could produce various kinds of beer products.However,the method also had the following disadvantages:1.lower utilization rate of wort;2.weakening of foaming capability and beer stability;3.infavorable effects on beer yeast;4.longer fermentation time ;5.strict requirement of water quality;6.adjustment of raw materials,saccharifying techniques and fermentation techniques required;7.professional syrup storage facilities and syrup addition pump required for long-term production;8.unsuitable for the production of beer of high alcohol content.(Tran.by YUE Yang)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".