Bibliographic record
Abstract
Abstract The influence of whey protein dispersions (WPDs) on syneresis of renneted curd was studied. Homogenized and non-homogenized WPDs containing 1.353% protein were added to raw milk to give a final concentration of 20.64%. The amount of whey released and the amount of protein and fat retained in the curd was determined at low (6.26) and high (6.5) pH. Adding WPDs to raw milk increased the amount of whey released at pH 6.5; however, no differences were observed at pH 6.26. Homogenization of WPDs tended to reduce whey yield at high pH but tended to increase it at low pH. More whey was released at low pH (34.3–34.4 g) compared to high pH (30.6–32.4 g). The amount of protein lost in whey was greater at low pH (0.298 vs. 0.268 g). Curd produced from milk with added WPDs contained less protein and less fat than that produced from raw milk. These findings reveal the importance of substrate pH in combination with homogenization of added protein dispersions from whey when utilized by cheese producers to optimize cheese yield and composition.
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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 | 0.001 |
| 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 | 0.001 | 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".