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Record W2096117622 · doi:10.1002/wene.33

Review of IPCC working group III findings on the impact of energy policy options on GHG emissions

2012· article· en· W2096117622 on OpenAlexaff
Hoesung Lee, Erik Haites

Bibliographic record

VenueWiley Interdisciplinary Reviews Energy and Environment · 2012
Typearticle
Languageen
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsInro Consultants (Canada)
Fundersnot available
KeywordsGreenhouse gasHydropowerClimate changeClimate change mitigationNatural resource economicsEnvironmental scienceRenewable energyMarket penetrationWind powerBioenergyCarbon capture and storage (timeline)Environmental resource managementBusinessEngineeringEconomicsEcology

Abstract

fetched live from OpenAlex

Abstract Working Group III of the Intergovernmental Panel on Climate Change has assessed mitigation options for the past 20 years. This paper reviews its assessments of bioenergy, geothermal, hydropower, ocean energy, solar, wind, nuclear, and carbon capture and storage (CCS), respectively, over that period. The assessments of hydropower, nuclear, and geothermal tend to focus on the social, economic, and environmental considerations that inhibit expansion of these mature technologies. The assessments of bioenergy, solar, and wind reflect their technological progress and market penetration. Assessments of ocean energy and CCS conclude they are likely to make only a modest contribution to mitigation efforts by 2030. The paper also reviews the assessments of policies to promote low carbon energy technologies. This article is categorized under: Energy and Climate > Economics and Policy Energy and Climate > Systems and Infrastructure Energy and Climate > Climate and Environment

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)0.006
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0110.018
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.019
GPT teacher head0.265
Teacher spread0.246 · 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
GenreReview

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
Published2012
Admission routes1
Has abstractyes

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