Combined acid‐ and rennet‐induced gelation of a mixed soya milk–cow's milk system
Bibliographic record
Abstract
Summary The objective of this study was to better understand the gelation behaviour of a mixed soya milk–cow's milk system, by forming different reactive protein particles using rennet and glucono‐δ‐lactone. The formation of the structure of these mixed gels was followed, for the first time, using diffusing wave spectroscopy and rheology. When only one protein source was induced to gel, protein aggregation was hindered, as shown by the slower increase in apparent radius after the gel point. Confocal microscopy analysis of the gel networks suggested that while milk gels exhibited large pores with interconnecting strands of protein, soya gels appeared as densely packed protein aggregates, and mixed soya milk gels appeared as a network of aggregated proteins. This study demonstrated that by modulating the reactivity of the building blocks, it is possible to fine‐tune structure formation of these mixed protein gels.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".