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Record W2478452203 · doi:10.1002/chem.201602628

Cover Picture: Sulfur and Nitrogen Codoped Carbon Tubes as Bifunctional Metal‐Free Electrocatalysts for Oxygen Reduction and Hydrogen Evolution in Acidic Media (Chem. Eur. J. 30/2016)

2016· paratext· en· W2478452203 on OpenAlexaff
Tao Sun, Qiang Wu, Yufei Jiang, Zhiqi Zhang, Lingyu Du, Lijun Yang, Xizhang Wang, Zheng Hu

Bibliographic record

VenueChemistry - A European Journal · 2016
Typeparatext
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsBifunctionalElectrocatalystSulfurChemistryInorganic chemistryCarbon fibersProton exchange membrane fuel cellElectrolyteNitrogenMetalHydrogenOxygenCatalysisElectrodeMaterials scienceElectrochemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Sulfur and nitrogen codoped carbon tubes have a high electrocatalytic performance for both the oxygen reduction reaction (ORR) and hydrogen evolution reaction (HER) in acidic media, which is due to the synergetic effect of sulfur and nitrogen dopants. This bifunctional metal-free electrocatalyst for ORR and HER can accelerate the ORR to produce water in proton exchange membrane fuel cells and the HER to split water in electrolytic cells concurrently. More information can be found in the Communication by Q. Wu, Z. Hu et al. on page 10326 ff.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.144
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1440.026

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 head0.186
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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Same venueChemistry - A European Journal→Same topicFuel Cells and Related Materials→French-language works237,207→