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Record W4367849137 · doi:10.1038/s41586-023-05918-8

Constrained C2 adsorbate orientation enables CO-to-acetate electroreduction

2023· article· en· W4367849137 on OpenAlexafffund
Jian Jin, Joshua Wicks, Qiuhong Min, Jun Li, Yongfeng Hu, Jingyuan Ma, Yu Wang, Zheng Jiang, Yi Xu, Ruihu Lu, Gangzheng Si, Panagiotis Papangelakis, Mohsen Shakouri, Qunfeng Xiao, Pengfei Ou, Xue Wang, Chen Zhu, Wei Zhang, Kesong Yu, Jiayang Song, Xiaohang Jiang, Peng Qiu, Yuanhao Lou, Dan Wu, Yu Mao, Adnan Ozden, Chundong Wang, Bao Yu Xia, Xiaobing Hu, Vinayak P. Dravid, Yun Mui Yiu, Tsun‐Kong Sham, Ziyun Wang, David Sinton, Liqiang Mai, Edward H. Sargent, Yuanjie Pang

Bibliographic record

VenueNature · 2023
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsWestern UniversityCanadian Light Source (Canada)University of SaskatchewanUniversity of Toronto
FundersMaterials Research Science and Engineering Center, Harvard UniversityUniversity of TorontoNatural Sciences and Engineering Research Council of CanadaCanadian Light SourceRoyal Society Te ApārangiDivision of Materials ResearchWuhan National Laboratory for OptoelectronicsNational Natural Science Foundation of ChinaGovernment of OntarioMarsden FundChina Postdoctoral Science FoundationDivision of Electrical, Communications and Cyber SystemsSalt Science Research FoundationNorthwestern UniversityHuazhong University of Science and TechnologyCanadian Institutes of Health ResearchNational Science Foundation
KeywordsFaraday efficiencyCatalysisCarbon monoxideSelectivityChemistryElectrocatalystElectrochemistryCarbon fibersInorganic chemistryAcetic acidElectrochemical reduction of carbon dioxideCopperMaterials scienceOrganic chemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 score0.276
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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

Citations229
Published2023
Admission routes2
Has abstractno

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