MétaCan
Menu
Back to cohort
Record W2983456969 · doi:10.1021/acsomega.9b03026

Facile Approach for Synthesizing High-Performance MnO/C Electrodes from Rice Husk

2019· article· en· W2983456969 on OpenAlexafffund
Dan Zhan, Wei Luo, Heinz‐Bernhard Kraatz, Marcus Fehse, Yuqi Li, Zuoan Xiao, Dermot F. Brougham, André J. Simpson, Bing Wu

Bibliographic record

VenueACS Omega · 2019
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Science Foundation of Hubei ProvinceH2020 Marie Skłodowska-Curie ActionsUniversity of TorontoUniversity of Toronto ScarboroughNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsNanocompositeMaterials scienceCrystallinityCalcinationPyrolysisChemical engineeringMicrostructureNanoparticleCarbon fibersElectrochemistryHuskPorositySpecific surface areaCurrent densityElectrodeComposite materialNanotechnologyComposite numberCatalysisChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

, demonstrating superb rate capability. This outstanding electrochemical performance, ascribed to high electrochemical activity of the embedded MnO nanoparticles enhanced by electrical conductivity provided through the high surface area of the active porous carbon support, is discussed in relation to the microstructure of the nanocomposite.

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 score0.008
Threshold uncertainty score0.709

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)0.0000.001

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 head0.015
GPT teacher head0.211
Teacher spread0.197 · 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

Citations23
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueACS OmegaSame topicSupercapacitor Materials and FabricationFrench-language works237,207