MétaCan
Menu
Back to cohort
Record W2368034451

New correlation model for the HLB Values of ethylene oxide and propylene oxide block copolymers

2008· article· en· W2368034451 on OpenAlex
Zhu Shiping

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSciencepaper Online · 2008
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEthylene oxidePropylene oxideBlock (permutation group theory)ChemistryOxideCopolymerThermodynamicsFunction (biology)Materials scienceMathematicsOrganic chemistryPhysicsCombinatorics
DOInot available

Abstract

fetched live from OpenAlex

The hydrophile-lipophile balance (HLB) value is a key parameter in determining the solution properties of surfactants. The HLB value is not only a function of the numbers of hydrophilic and lipophilic units, but also depends on their locations on the chain. All the previous correlation models for the HLB values from the group contribution method neglected the locations of units and assumed that the contribution is in proportion with the number of groups. This paper introduces a decay function for the contribution of the sequential units for the block copolyether of ethylene oxide (EO) and propylene oxide (PO), and developes the following new equation for the relationship between the numbers n of EO unit, m of PO unit and the HLB value VHLB as follows: V_(HLB)=A_0+f×A_(EO)ln(1+n)+f×A_(PO)ln(1+m) Results of linear regressions for the HLB values on a series of tri-block and bi-block copolyethers of EO and PO indicatedthat this new equation has much better correlation with the experimental data than the previous models reported in the literature.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.028
GPT teacher head0.260
Teacher spread0.232 · 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