Pulsed electric field assisted juice extraction from alfalfa
Bibliographic record
Abstract
Gachovska, T.K., Ngadi, M.O. and Raghvan, G.S.V. 2006. Pulsed electric field assisted juice extraction from alfalfa. Canadian Biosystems Engineering/Le genie des biosystemes au Canada 48: 3.33 3.37. The objective of this study was to evaluate the effect of pulsed electric field (PEF) treatment on alfalfa juice extraction. Alfalfa mash was produced by blending alfalfa leaves. Approximately 40 g of the mash were subjected to PEF treatment of 200 pulses at 1 Hz in two successions. Each PEF treatment was followed by pressure application at 2 and 4 MPa, respectively. White protein was separated from green protein and the mineral content of the various components of the samples was determined. PEF treatment increased extraction of juice from alfalfa mash by 38% compared to non-PEF-treated samples. Dry matter, protein content, and mineral content of PEF treated samples were significantly (P<0.05) higher than non-PEF samples. Extraction of white protein was enhanced by the PEF 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".