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Record W2002665550 · doi:10.1021/ma101231z

Microgels with an Interpenetrating Network Structure as a Model System for Cell Studies

2010· article· en· W2002665550 on OpenAlexaff
Neta Raz, James K. Li, Lindsey K. Fiddes, Ethan Tumarkin, Gilbert C. Walker, Eugenia Kumacheva

Bibliographic record

VenueMacromolecules · 2010
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolymerElasticity (physics)Interpenetrating polymer networkMaterials scienceMicrofluidicsModulusNetwork structureRelaxation (psychology)Young's modulusElastic modulusChemical engineeringAtomic force microscopyPolymer chemistryNanotechnologyComposite material

Abstract

fetched live from OpenAlex

This paper reports the preparation of microgels with an interpenetrating polymer network (IPN) structure using microfluidic synthesis. Microgels with a narrow size distribution were generated from ionically cross-linked alginate and chemically cross-linked poly( N -isopropylacrylamide). The mechanical properties of the microgels, such as Young’s modulus and the characteristic relaxation time, were studied using atomic force microscopy (AFM). The lower limits of the elasticity found in this study are within the range of the elasticity reported for neutrophils, making these microgels a promising model system for studies of cell flow through constrained geometries.

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 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 score0.572
Threshold uncertainty score0.614

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 head0.013
GPT teacher head0.278
Teacher spread0.264 · 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

Citations31
Published2010
Admission routes1
Has abstractyes

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