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Record W4232623579 · doi:10.1002/celc.202100395

High‐Performance Flexible Micro‐Supercapacitors Printed on Textiles for Powering Wearable Electronics

2021· article· en· W4232623579 on OpenAlexaffabout
Hua Guo, Zhen Jiang, Dayong Ren, Shengxia Li, Jialin Wang, Xiaobing Cai, Dongxing Zhang, Qiuquan Guo, Junfeng Xiao, Jun Yang

Bibliographic record

VenueChemElectroChem · 2021
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsWestern University
Fundersnot available
KeywordsWearable computerWearable technologyElectrical engineeringSupercapacitorSalientElectronicsCover (algebra)Power (physics)Computer sciencePower electronicsEngineeringTelecommunicationsEmbedded systemMechanical engineeringPhysicsElectrodeCapacitanceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Invited for this month's cover picture is Dr. Dayong Ren and collaborators from Shanghai University, Shanghai Mifang Tech., and University of Western Ontario. The picture shows a running man wearing a T‐shirt with printed miniaturized power sources. The printed power sources have salient features including shape conformability and convenient integration with devices. Also, these wearable electronics could act as the power sources for flexible sensors, displays, and others. Read the full text of the Article at 10.1002/celc.202100100 .

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 score0.007
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 head0.014
GPT teacher head0.234
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

Citations0
Published2021
Admission routes2
Has abstractyes

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