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Record W4402522377 · doi:10.1039/d4ee02398f

Distinguishing bulk redox from near-surface degradation in lithium nickel oxide cathodes

2024· article· en· W4402522377 on OpenAlexafffund
Lijin An, Jack E. N. Swallow, Peixi Cong, Ruomu Zhang, Andrey D. Poletayev, Erik Björklund, Pravin N. Didwal, Michael Fraser, Leanne A. H. Jones, Conor Phelan, Namrata Ramesh, Grant Harris, Christoph J. Sahle, Pilar Ferrer, David C. Grinter, Peter Bencok, Shusaku Hayama, M. Saïful Islam, Robert A. House, Peter D. Nellist, Robert J. Green, Rebecca J. Nicholls, Robert S. Weatherup

Bibliographic record

VenueEnergy & Environmental Science · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of British ColumbiaUniversity of Saskatchewan
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsH2020 European Research CouncilEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionEuropean Synchrotron Radiation FacilityRoyal Academy of EngineeringDiamond Light SourceFaraday InstitutionUK Research and Innovation
KeywordsNickelDegradation (telecommunications)RedoxLithium (medication)CathodeNickel oxideMaterials scienceOxideInorganic chemistryMetallurgyChemistryComputer sciencePhysical chemistry

Abstract

fetched live from OpenAlex

Bulk redox activity in LiNiO 2 proceeds without significant involvement of molecular oxygen, whose formation is instead associated with surface degradation.

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 score0.032
Threshold uncertainty score0.669

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 communication0.0000.001
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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

Citations39
Published2024
Admission routes2
Has abstractyes

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