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Record W2912985613 · doi:10.1039/c9ta00045c

Oxidizing solid Co into hollow Co<sub>3</sub>O<sub>4</sub> within electrospun (carbon) nanofibers towards enhanced lithium storage performance

2019· article· en· W2912985613 on OpenAlexaff
Hongkang Wang, Fang Li, Sanmu Xie, Guiyin Xu, Yiyi She, Michael K.H. Leung, Tianxi Liu

Bibliographic record

VenueJournal of Materials Chemistry A · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsAlberta Energy
FundersState Key Laboratory of Electrical Insulation and Power EquipmentState Key Laboratory for Modification of Chemical Fibers and Polymer MaterialsNational Natural Science Foundation of China
KeywordsOxidizing agentMaterials scienceAnnealing (glass)Carbon nanofiberChemical engineeringNanofiberLithium (medication)NanoparticleCarbon fibersElectrospinningNanotechnologyChemistryCarbon nanotubeComposite materialOrganic chemistryPolymerComposite number

Abstract

fetched live from OpenAlex

Solid Co nanoparticles were oxidized into hollow Co <sub>3</sub> O <sub>4</sub> counterparts in the electrospun (carbon) nanofibers by annealing under ambient atmosphere, which showed superior lithium storage properties.

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)0.001
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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

Citations121
Published2019
Admission routes1
Has abstractyes

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