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Record W4395677505 · doi:10.1039/d3cs00186e

Aryl ether-free polymer electrolytes for electrochemical and energy devices

2024· review· en· W4395677505 on OpenAlexafffund
Eun Joo Park, Patric Jannasch, Kenji Miyatake, Chulsung Bae, Kevin J. T. Noonan, Cy Fujimoto, Steven Holdcroft, John R. Varcoe, Dirk Henkensmeier, Michael D. Guiver, Yu Seung Kim

Bibliographic record

VenueChemical Society Reviews · 2024
Typereview
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsSimon Fraser University
FundersEnergy Frontier Research CentersBasic Energy SciencesJapan Society for the Promotion of ScienceEngineering and Physical Sciences Research CouncilLos Alamos National LaboratorySandia National LaboratoriesNational Nuclear Security AdministrationOffice of ScienceRio TintoChemical Institute of CanadaTianjin UniversityState Key Laboratory of EnginesOffice of Energy EfficiencyChina Scholarship CouncilKorea Institute of Science and TechnologyNational Natural Science Foundation of ChinaStiftelsen för Strategisk ForskningMinistry of Education, Culture, Sports, Science and TechnologyJapan Science and Technology CorporationStiftelsen för Strategisk ForskningOffice of Energy Efficiency and Renewable EnergyU.S. Department of Energy
KeywordsElectrochemistryElectrolyteEtherArylPolymerElectrochemical energy conversionPolymer electrolytesIonChemistryMaterials scienceChemical engineeringElectrodeOrganic chemistryIonic conductivityEngineeringPhysical chemistry

Abstract

fetched live from OpenAlex

This review provides a depth of knowledge on the synthesis, properties and performance of aryl ether-free anion exchange polymer electrolytes for electrochemical and energy devices.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.024
GPT teacher head0.283
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations161
Published2024
Admission routes2
Has abstractyes

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