Spheroidal Fat Crystal Microstructures Formed with Confined Gap Shearing
Bibliographic record
Abstract
Confined gap shear-cooling was used to structure a model solid fat/liquid oil system consisting of fully hydrogenated canola oil (FHCO) and canola oil (CO). Samples were cooled at various cooling rates (0.2–5.0 °C/min) and shear rates (0, 500, 1000, and 2000 s –1 ) and characterized via polarized light microscopy and rheology. In the absence of shear (0 s –1 ), FHCO crystallized into an aggregated network of spherulites. Upon shearing, HCO crystallized into distinct spheroids whose size and structure were dependent on the cooling and shear rates used as well as crystallization duration and temperature. Lower shear rates resulted in larger, more irregularly shaped spheroids, whereas with higher shear rates these were more numerous and smaller. The simultaneous action of cooling and shear was required for spheroid formation, with shear having a greater impact. A mechanism was proposed to identify the multiple steps involved in the formation of the spheroids. Overall, these results demonstrated that it is possible to tailor the aggregation behavior of individual fat crystals toward novel morphologies that may be used to control fat crystal network microstructure and rheology.
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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) | 0.001 | 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 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".