Effects of β-Glucans, Shearing, and Environmental Factors on Wort Filtration Performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A model filtration device with diatomaceous earth (DE) as a filter bed was used to investigate the effects of β-glucans, wort pH, maltose concentration, shearing, and shearing temperature on the efficiency of wort filtration at 76°C. A 0.45-μm membrane filtration of wort was performed at 20°C as an alternative test. High-molecular-weight β-glucans increased wort resistance to DE cake filtration (76°C) and 0.45-μm membrane filtration (20°C). Shearing of wort samples impaired their filtration performance. High maltose concentrations and low pH values also were detrimental to wort filtration. Results of membrane filterability at 20°C correlated with that of DE filtration at 76°C.
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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 | 0.001 |
| 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 it