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Record W1976363179 · doi:10.1021/ma070901t

Lubricant-Oil-Dispersible Stainless-Steel-Binding Block Copolymer Nanoaggregates and Nanospheres

2007· article· en· W1976363179 on OpenAlexaff
Ronghua Zheng, Jiandong Wang, Guojun Liu, Tze‐Chi Jao

Bibliographic record

VenueMacromolecules · 2007
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsCopolymerAcrylatePolymer chemistrySolventAcrylic acidHydrolysisChemical engineeringMaterials scienceLubricantMass fractionBlock (permutation group theory)ChemistryOrganic chemistryComposite materialPolymer

Abstract

fetched live from OpenAlex

Nanoaggregates were prepared from five samples of poly[(2-ethylhexyl acrylate)- ran -( tert -butyl acrylate)]- block -poly(2-cinnamoyloxyethyl acrylate), P(EXA−tBA)−PCEA in block-selective solvents for P(EXA−tBA). The effect of varying diblock composition, block-selective solvent, and equilibrium temperature on the size and shape of the nanoaggregates formed was investigated. Nanospheres were obtained after the photo-cross-linking of the spherical nanoaggregates. The tBA groups in the corona of these nanospheres could be hydrolyzed to give P(EXA−tBA−AA), where AA denotes acrylic acid, with a controlled fraction of AA units. Nanospheres with low contents of AA groups in their corona disperse well in low-polarity solvents and bind effectively to stainless-steel surfaces.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.042
Threshold uncertainty score1.000

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)0.0010.000

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 head0.007
GPT teacher head0.228
Teacher spread0.220 · 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.

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

Citations12
Published2007
Admission routes1
Has abstractyes

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