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Record W2800548668 · doi:10.1002/cssc.201800755

Front Cover: Tunable Bifunctional Activity of Mn<sub><i>x</i></sub>Co<sub>3−<i>x</i></sub>O<sub>4</sub> Nanocrystals Decorated on Carbon Nanotubes for Oxygen Electrocatalysis (ChemSusChem 8/2018)

2018· paratext· en· W2800548668 on OpenAlexaff
Tingting Zhao, Srinivas Gadipelli, Guanjie He, Matthew J. Ward, David Do, Peng Zhang, Zhengxiao Guo

Bibliographic record

VenueChemSusChem · 2018
Typeparatext
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsDalhousie UniversityCanadian Light Source (Canada)
Fundersnot available
KeywordsBifunctionalElectrocatalystOxygen evolutionCatalysisCobaltMaterials scienceCarbon fibersManganeseCarbon nanotubeCobalt oxideOxideFront coverNanotechnologyOxygenNanocrystalInorganic chemistryChemistryElectrochemistryCover (algebra)ElectrodeComposite numberPhysical chemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

The Front Cover illustrates an integrated manganese cobalt oxide/nitrogen-doped multiwalled carbon nanotube hybrid (MnCo2O4@NCNTs) bifunctional catalyst for the oxygen reduction and evolution reactions (ORR/OER), outperforming the commercial Pt/C and IrO2/C standards. The hybrid structure is rationally designed with careful control of surface chemistry and synthesis conditions, exhibits tunable and durable catalytic activities for both ORR and OER, and can be readily scaled up for alkaline fuel cells and metal–air batteries. More information can be found in the Full Paper by Zhao et al. on page 1295 in Issue 8, 2018 (DOI: 10.1002/cssc.201800049).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0000.005

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 head0.011
GPT teacher head0.224
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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