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Record W4318716477 · doi:10.1039/d2tb02511f

Electrospun fibrous membrane reinforced hydrogels with preferable mechanical and tribological performance as cartilage substitutes

2023· article· en· W4318716477 on OpenAlexaff
Qin Chen, Xiaodong Yan, Kai Chen, Cunao Feng, Dagang Wang, Xiaowei Li, Xiaoduo Zhao, Zhimin Chai, Qingliang Wang, Dekun Zhang, Hongbo Zeng

Bibliographic record

VenueJournal of Materials Chemistry B · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversity of Alberta
FundersLanzhou Institute of Chemical Physics, Chinese Academy of SciencesState Key Laboratory of TribologyState Key Laboratory of Solid LubricationNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsMaterials scienceSelf-healing hydrogelsCartilageTribologyComposite materialBiomedical engineeringTissue engineeringFriction coefficientElectrospinningPolymerPolymer chemistryAnatomy

Abstract

fetched live from OpenAlex

). In addition, the friction coefficient of the fibrous membrane reinforced hydrogel is as low as 0.039, 2 times smaller than that of the hydrogel without addition of the fibrous membrane. Therefore, such hydrogels had excellent mechanical properties and tribological properties, which could be widely used in tissue engineering such as in cartilage replacement.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.569

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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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

Citations20
Published2023
Admission routes1
Has abstractyes

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