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Record W6968388753 · doi:10.5281/zenodo.3548182

Future of BTL Products in Europe - Proceedings of the second COMSYN workshop 23 – 24 May 2019

2019· article· en· W6968388753 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsGlencore (Canada)Petro-Canada
FundersEuropean Commission
KeywordsBiofuelAviation biofuelCzechWork (physics)Thematic mapEuropean unionTest (biology)

Abstract

fetched live from OpenAlex

<strong>Proceedings of the second COMSYN workshop</strong> <strong>2<sup>nd</sup> Thematic Workshop, 23 – 24 May 2019 in Prague and Litvinov, Czech Republic</strong> UniCRE, the Unipetrol Centre of Research and Education, held the 2nd thematic COMSYN workshop on May 23 – 24, 2019 in Prague and Litvinov, Czech Republic. The workshop gathered biofuel experts and members of press for the discussions on the Future of BTL Products in Europe. The workshop began in Prague with ten presentations from invited experts covering topics of the current status of biofuels in Europe, the European biofuel targets for the future and the technology options for biofuel production. The experts were representatives of industry, SMEs, academia and research institutes, giving the audience an opportunity to gain versatile information on biofuels. As the highlight of the first day UniCRE presented a second-generation biofuel made from biomass waste and conducted test drives in vehicles powered by biofuel made from woodchips. The chemical composition and possible use of the new fuel is substantially different from the current 1G biocomponents. Furthermore, it poses no risk of damage to the vehicle unlike the currently used methyl ester of rape oil. On the second workshop day, the participants were invited to the oil refinery of Unipetrol and research facilities of UniCRE in Litvinov. Research aimed at testing 2G biocomponents was initiated at UniCRE in order to meet the increasingly stringent emission limits set by the European Union. In 2017 UniCRE, as one of the beneficiaries of the COMSYN consortium, received funding from the EU HORIZON 2020 for the research.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.205
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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