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Record W4238451997 · doi:10.1002/9783527679478.ch7

Preparation, Inhibition and Destruction of Dispersions

2014· other· en· W4238451997 on OpenAlexaff
Laurier L. Schramm

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsSaskatchewan Research Council (Canada)
Fundersnot available
KeywordsNucleationComminutionEconomies of agglomerationCoagulationColloidOil dropletChemical engineeringProcess (computing)HomogeneousChemical speciesChemical physicsDispersion (optics)Chemical reactionNanotechnologyChemistryMaterials scienceEmulsionMetallurgyPhysicsComputer scienceOrganic chemistryOpticsThermodynamics

Abstract

fetched live from OpenAlex

Colloidal dispersions can be formed either by nucleation with subsequent growth or by subdivision processes. The colloidal species are built up by deposition on nuclei that may be of the same or different chemical species. If the nuclei are of the same chemical species, the process is referred to as homogeneous nucleation; if the nuclei are of different chemical species, the process is referred to as heterogeneous nucleation. The subdivision or dispersion process refers to the comminution of particles, droplets or bubbles into smaller sizes. In process industries, chemical demulsification is commonly used to separate water from oil in order to produce a fluid suitable for further processing. Demulsification then involves two steps. First, there must be agglomeration or coagulation of droplets. Second, the agglomerated droplets must coalesce.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.006
GPT teacher head0.254
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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