MétaCan
Menu
← Back to cohort
Record W4412816333 · doi:10.1016/j.egycc.2025.100209

Bioenergy pathways within United States net-zero CO2 emissions scenarios in the Energy Modeling Forum 37 study

2025· article· en· W4412816333 on OpenAlexaff
Ronald D. Sands, Liz Wachs, Patrick Lamers, Olivier Bahn, Robert Beach, Matthew Binsted, Geoffrey J. Blanford, Yongxia Cai, Francisco C. de la Chesnaye, Jae Edmonds, Leonard Göke, Chioke Harris, Christopher Hoehne, Page Kyle, Haewon McJeon, Robbie Orvis, Sharon Showalter, Aditya Sinha, Emma Starke, Kathleen Vaillancourt, Nadejda Victor, Peter Volkmar, John P. Weyant, Frances Wood

Bibliographic record

VenueEnergy and Climate Change · 2025
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsInro Consultants (Canada)Simon Fraser UniversityGroup for Research in Decision AnalysisHEC Montréal
FundersPacific Northwest National LaboratoryNational Renewable Energy LaboratoryOffice of Fossil Energy and Carbon ManagementNational Energy Technology LaboratoryTechnische Universität BerlinU.S. Department of EnergyElectric Power Research InstituteU.S. Environmental Protection AgencyEconomic Research ServiceU.S. Department of Agriculture
KeywordsBioenergyEnvironmental scienceRenewable energyNatural resource economicsEnergy (signal processing)Zero emissionNet energyBiofuelEngineeringEconomicsWaste managementPhysics

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.291
Teacher spread0.248 · 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 designSimulation or modeling
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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEnergy and Climate Change→Same topicGlobal Energy and Sustainability Research→French-language works237,207→