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Record W3161497219 · doi:10.1002/anie.202104086

Back Cover: Magnetic‐Field‐Stimulated Efficient Photocatalytic N<sub>2</sub> Fixation over Defective BaTiO<sub>3</sub> Perovskites (Angew. Chem. Int. Ed. 21/2021)

2021· paratext· en· W3161497219 on OpenAlexaff
Zhao Zhao, Dandan Wang, Rui Gao, Guobin Wen, Ming Feng, Guangxin Song, Jianbing Zhu, Dan Luo, Huaqiao Tan, Xin Ge, Wei Zhang, Yujun Zhang, Lirong Zheng, Haibo Li, Zhongwei Chen

Bibliographic record

VenueAngewandte Chemie International Edition · 2021
Typeparatext
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPhotocatalysisAdsorptionCover (algebra)Materials scienceIrradiationFixation (population genetics)NanotechnologyChemical engineeringChemistryCatalysisPhysicsPhysical chemistryEngineeringNuclear physicsMechanical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Magnetic field stimulated photocatalytic N2 fixation over defective BaTiO3 perovskites is described by Ming Feng, Haibo Li, Zhongwei Chen, and co-workers in their Research Article on page 11910. The electromagnetic synergistic effect promotes N2 adsorption and activation while facilitating fast charge separation under UV/Vis irradiation. This study offers an alternative route for exploring photocatalytic N2 fixation materials.

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 score0.180
Threshold uncertainty score0.602

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1800.048

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 head0.255
Teacher spread0.247 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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