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Record W4251017003 · doi:10.1787/9789264014084-3-en

Synthesis of Main Findings

2006· book-chapter· en· W4251017003 on OpenAlexaboutno aff

Bibliographic record

VenueOECD eBooks · 2006
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsNational innovation systemWork (physics)Technology policyBusinessTechnology innovationInnovation systemPolitical scienceRegional scienceIndustrial organizationEconomic growthEconomyEngineeringEconomicsGeographySociology

Abstract

fetched live from OpenAlex

This report summarises the conclusions of a project on innovation in energy technology organised by the OECD Working Party on Innovation and Technology Policy. It forms part of a larger effort to compare innovation processes in different industry sectors to both provide guidance to policy makers on development of innovation policy and to more fully elaborate the national innovation systems approach to policy making. The report focuses primarily on innovation in hydrogen fuel cell technology, which was the subject of country studies prepared by experts from nine countries: Canada, France, Germany, Italy, Japan, Korea, Norway, the United Kingdom and the United States. It also addresses innovation in oil and gas technologies, drawing on work done in France, Norway and the United States, which allows some ability for comparative analysis across national innovation systems and among innovation systems for different energy technologies.

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)0.033
metaresearch head score (Gemma)0.196
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: Review · Consensus signal: none
Teacher disagreement score0.215
Threshold uncertainty score0.719

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.196
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.008
Bibliometrics0.0260.025
Science and technology studies0.0020.002
Scholarly communication0.0110.006
Open science0.0040.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2150.040

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 head0.068
GPT teacher head0.213
Teacher spread0.145 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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