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Record W2012403215 · doi:10.1080/01932690600992852

Surfactant Phase Equilibria and Separation of Amphiphilic Extractives from Black Liquor in Kraft Cooking of Wood

2006· article· en· W2012403215 on OpenAlexaff
Esa Pirttinen, Per Stenius, Kari Kovasin

Bibliographic record

VenueJournal of Dispersion Science and Technology · 2006
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsPulmonary surfactantKraft paperAmphiphileBlack liquorChemistryPhase (matter)Chemical engineeringPulp and paper industryChromatographyOrganic chemistryLigninBiochemistryPolymerEngineering

Abstract

fetched live from OpenAlex

Solubilization and phase equilibria of low molecular weight amphiphilic and insoluble wood components (sodium abietate, sodium oleate, sterols, alkanols, fatty acids) modeling those occurring in the Kraft cooking process of papermaking pulps (“extractives”) were investigated. The rate of separation (creaming) of particles formed when adding neutral solubilizates in excess to solutions of fatty and resin acids soaps was studied using a TurbiScan MA 2000 instrument. The rate was highly dependent on the fatty acid/resin acid ratio. A narrow two phase region was found where a lamellar liquid crystalline phase formed by neutral solubilizate and soaps was in equilibrium with very dilute solutions. This could be utilized to improve separation by means of a controlled addition of the neutral component. †Metsä‐Botnia Ltd, Rauma Mill, Rauma, Finland

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.285
Teacher spread0.275 · 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 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

Citations8
Published2006
Admission routes1
Has abstractyes

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