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Record W4285408115 · doi:10.1002/cnl2.16

Carbon Neutralization: The exploration of clean energy and ecological environment to achieve low carbon emission

2022· article· en· W4285408115 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCarbon Neutralization · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsClean energyCarbon fibersEnvironmental scienceNeutralizationEcologyEnvironmental protectionMaterials scienceBiology

Abstract

fetched live from OpenAlex

Climate change is already affecting the entire world, with extreme weather conditions due to burning fossil fuels like coal, oil and gas. In this context, the term “Carbon Neutralization” is proposed. The term is used in the context of carbon dioxide-releasing processes associated with transportation, energy production, agriculture, and industry. Carbon Neutralization means having a balance between emitting carbon and absorbing carbon from the atmosphere in carbon sinks. Switching energy systems from fossil fuels to renewables like solar or wind will reduce the emissions driving climate change. Carbon Neutralization is copublished by Wiley and Wenzhou University, China. Carbon Neutralization is an international journal that addresses the growing scientific interests and needs in cutting-edge energy technology involving carbon utilization and carbon emission control. It serves as a high-quality platform for researchers working in a wide variety of scientific areas to communicate their findings and critical opinions as well as bring the communities of advanced material and energy together to contribute to this emerging field. Carbon Neutralization aims at publishing environmental science, ecosystems, carbon capture and storage, renewable energy, solar energy, fuel cells, batteries, hydrogen energy, energy harvesting devices, bioenergy, biofuels, electrocatalysis, photocatalysis, and so forth. It prompts new technologies leading to the control of carbon emission and green production of carbon materials. The journal recognizes the complexity of issues, and therefore particularly welcomes innovative interdisciplinary research with wide impact. Carbon Neutralization invites you to submit original research and review articles, editorials, short communications, and letters to the editor. We encourage contributors to read the authors' guidelines (https://onlinelibrary.wiley.com/page/journal/27693325/homepage/author-guidelines), grasping the criteria of each article type. Carbon Neutralization adopts an open-access publishing model, and all published articles are freely accessed through the Wiley Online Library (https://onlinelibrary.wiley.com/r/carbon-neutralization). The Editorial Board of Carbon Neutralization is comprised of prominent experts around the world spanning across multiple research fields. Our Honorary Editor-in-Chief, Prof. Rose Amal, from University of New South Wales, Sydney, Australia, is an ARC Laureate Fellow. She is recognized as a pioneer and leading authority in the fields of fine particle technology, photocatalysis, and functional nanomaterials having made significant contributions to these related areas of research. Our Editors-in-Chief are Prof. Shulei Chou and Prof. Min Zhao, both of them are from Wenzhou University, who are responsible for the whole publication process of Carbon Neutralization. Assisting the Editors-in-Chief to expedite the peer review process, three Associate Editors are on board, including Prof. Dawei Wang (University of New South Wales, Sydney, Australia), Prof. Jianbing Li (University of Northern British Columbia, Prince George, Canada), and Prof. Hui Ying Yang (Singapore University of Technology and Design, Singapore, Singapore). Ultimately, it is our strong belief that with you as our passionate readers, resourceful authors, critical commentators, and reviewers, Carbon Neutralization will rapidly emerge into a leading open-access journal in the cross-field of clean energy and environmental science. The authors declare no conflict of interest.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.809

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 integrity0.0000.000
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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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