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Record W3086734274 · doi:10.1039/d0ta06335e

Exploring the oxygen electrode bi-functional activity of Ni–N–C-doped graphene systems with N, C co-ordination and OH ligand effects

2020· article· en· W3086734274 on OpenAlexaff
Zhao Liang, Mingming Luo, Mingwei Chen, Xiaopeng Qi, Juan Liu, Chao Liu, Shaik Gouse Peera, Tongxiang Liang

Bibliographic record

VenueJournal of Materials Chemistry A · 2020
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsMcGill University
FundersNatural Science Foundation of Jiangxi ProvinceState Key Laboratory of Metastable Materials Science and TechnologyEducation Department of Jiangxi ProvinceYanshan UniversityNational Natural Science Foundation of China
KeywordsBifunctionalOrdinationOxygen evolutionOxygen reduction reactionOxygenGrapheneOxygen reductionElectrodeLigand (biochemistry)ChemistryDopingMetalInorganic chemistryMaterials scienceNanotechnologyElectrochemistryCatalysisPhysical chemistryComputer scienceOptoelectronicsOrganic chemistry

Abstract

fetched live from OpenAlex

Development of efficient bifunctional electrocatalysts for reversible oxygen reduction (ORR) and the oxygen evolution reaction (OER) is of prime importance in rechargeable metal–air batteries.

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 score0.001
Threshold uncertainty score0.434

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 head0.019
GPT teacher head0.205
Teacher spread0.185 · 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

Citations84
Published2020
Admission routes1
Has abstractyes

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