MétaCan
Menu
Back to cohort

Functional Conductive Hydrogels for Bioelectronics

2020· article· en· W3080858763 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Materials Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Alberta
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNational Research Foundation SingaporeCanada Research ChairsAgency for Science, Technology and Research
KeywordsBioelectronicsSelf-healing hydrogelsNanotechnologyMaterials scienceBiocompatibilityElectrical conductorConductive polymerWearable computerTissue engineeringElectrically conductiveBiomedical engineeringComputer scienceEngineeringBiosensorPolymerComposite materialEmbedded systemPolymer chemistry

Abstract

fetched live from OpenAlex

Conductive hydrogels are widely used in various applications, such as artificial skin, flexible and implantable bioelectronics, and tissue engineering. However, it is still a challenge to formulate hydrogels with high electrical conductivity without compromising their physicochemical properties (e.g., toughness, stretchability, and biocompatibility). Additionally, incorporating other functions, such as self-healing, shape memory, and wet adhesion, into conductive hydrogels is critical to many practical applications of hydrogel bioelectronics. In this Review, we highlight recent progress in the development of functional conductive hydrogels. We, then, discuss the potential applications and challenges faced by conductive hydrogels in the areas of wearable/implantable electronics and cell/tissue engineering. Conductive hydrogel can serve as an important building block for bioelectronic devices in personalized healthcare and other bioengineering areas.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.716

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 head0.026
GPT teacher head0.211
Teacher spread0.185 · 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