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Record W4241851333 · doi:10.1021/ie1025997

Crystal Morphology of Hydrogenated Castor Oil in the Crystallization of Oil-in-Water Emulsions: Part II. Effect of Shear

2011· article· en· W4241851333 on OpenAlexaff
Dingzheng Yang, Andrew N. Hrymak, Musa R. Kamal

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsMcGill UniversityWestern UniversityMcMaster University
Fundersnot available
KeywordsShear rateCrystallizationShear (geology)NucleationMaterials scienceShear flowCrystal (programming language)Chemical engineeringComposite materialMineralogyCrystallographyChemistryRheologyThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Crystallization of hydrogenated castor oil-in-water emulsions has been studied by polarized light microscopy under controlled shear. Shear rates from 0 to 100 s –1 have been applied at cooling rates from 1 to 5 °C/min. Emulsions have been redispersed by shear before crystals formed. The higher the shear rate, the smaller the droplet size. Nucleation has been promoted with the increase of shear rate. Morphology analysis indicates that crystals in the form of fibers favor gentle shear, i.e., 1 s –1, but fibers can be broken up with the increase of shear time. Crystals as rosettes tend to become elongated in the flow direction. At lower cooling rate (<2 °C/min), mean crystal size decreases with shear rate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.074
GPT teacher head0.268
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2011
Admission routes1
Has abstractyes

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