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Record W4379051545 · doi:10.1002/cey2.394

Back Cover Image, Volume 5, Number 5, May 2023

2023· paratext· en· W4379051545 on OpenAlexaff
Youchen Hao, Xifei Li, Wen Liu, Jingjing Wang, Hui Shan, Wenbin Li, Xingjiang Liu, Liangxu Lin, Xianyou Wang, Xueliang Sun

Bibliographic record

VenueCarbon Energy · 2023
Typeparatext
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsWestern University
Fundersnot available
KeywordsPolarization (electrochemistry)CathodeElectrodeRedoxElectrochemistryPrussian blueMaterials scienceCoatingCover (algebra)OxideNanotechnologyOptoelectronicsChemical engineeringChemistryElectrical engineeringMetallurgyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Back cover image: Li-rich Mn-based oxide (LMO) has been regarded as a promising candidate cathode for next-generation high energy density batteries. However, it suffers from serious electrochemical polarization at high rates, and in article number 10.1002/cey2.272, Xifei Li and coworkers reported a Prussian blue (PB) coating layer with specific redox potential, which facilitates to reduce the large polarization of electrode because of the synchronous redox reaction between coating layer and LMO. This work provides a new strategy to address the polarization issue upon various electrodes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.188
Threshold uncertainty score0.268

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8120.665

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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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