Overall Evaluation of Produced Flavored Low Lactose Milk Powder for Lactose Intolerants
Bibliographic record
Abstract
One of the ways that can prevent lactose intolerant refuge to use dairy products is generation of new products which is easily accessible. In this study, flavored (banana, cocoa) low-lactose milk powder, flavored (banana and cocoa) milk powder, low-lactose milk powder and milk powder were produced using a co-current spray dryer. The inlet and outlet temperature was 145°C and 75°C, respectively. Moisture, fat and lactose of treatments were measured and carbohydrates were compared also. Samples which treated with enzyme (lactase, 0.15%) are bare of harmful carbohydrate for lactose intolerant and they can reconstitute this powder for using and benefit the nutritional matters of milk without any side effects. After reconstituting of samples, sensory evaluation was investigated. Investigations revealed that flavored low-lactose milk accepted as a new product that doesn’t have disadvantages of low-lactose milk because of its sweetness taste and flavored milk because of adding sugar (6-7%).
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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 | 0.001 | 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) | 0.003 | 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".