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Record W2762394608 · doi:10.1039/c7tb02068f

Toward the low actuation temperature of flexible shape memory polymer composites with room temperature deformability<i>via</i>induced plasticizing effect

2017· article· en· W2762394608 on OpenAlexafffund
Shenyang Cai, Yu‐Chen Sun, Jie Ren, Hani E. Naguib

Bibliographic record

VenueJournal of Materials Chemistry B · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversity of TorontoToronto Public HealthUniversity of New Brunswick
FundersChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsMaterials sciencePlasticizerGlass transitionThermoplastic polyurethaneShape-memory polymerComposite materialEthylene glycolPolymerElastomerShape-memory alloyThermoplastic elastomerPolyurethaneThermoplasticPEG ratioChemical engineeringCopolymer

Abstract

fetched live from OpenAlex

ratio. An improvement in 37.5% shorter recovery time can be observed with the incorporation of 10 wt% PEG when compared with a pristine PLA/TPU system under 50 °C. The results indicated that plasticizing is an effective method for altering the polymer chain structures and a step closer toward the development of fast response SMPs that can be activated under a low temperature.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations49
Published2017
Admission routes2
Has abstractyes

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