Bibliographic record
Abstract
The new type of fermented milk “aloe Kefir”was produced with Kefir grain from Canada Rosell Company. Both the benefits of aloe and Kefir milk in and nutrition and health have been well known for a long time. So, the objectives of this paper were to introduce aloe fruit into Kefir milk, and combine their advantages to form a new fermented product of aloe Kefir. Orthogonal test showed that the optimal technology for“aloe Kefir”was as follows: sucrose addition of 8.0%, kefir grains activated inoculums size of 2.5%, and fermentation temperature at 22 ℃with incubation time of 11h. Based on the recommended amount of aloe fruit in soft drink by National Standard, a level of aloe fruit with 6.0 g was fixed to add to 200 mL of the kefir milk product. The fermented product“aloe Kefir”, in which milk was used as main material and aloe as supplementary stuff, might be rich in nutrition and heath improvement, characterized with specific flavor, and corresponded to the popularity of consumers' mouth feel.
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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".