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Record W4412342882

International Energy Agency - Examples of Energy Flexibility in Buildings:Energy in Buildings and Communities Programme Annex 67 Energy Flexible Buildings

2019· report· en· W4412342882 on OpenAlexaff
Hicham Johra, Tobias Weiß, Thibault Péan, Ali Saberi Derakhtenjani, José A. Candanedo, Andreas Athienitis, E. Mlecnik, Ina De Jaeger, Dirk Saelens, Hussain Kazmi, Ilaria Vigna, Marco Lovati, Roberta Pernetti, Roberto Lollini, Young-Jae Yu, Konstantin Klein, Lilli Frison, Péter Engelmann, Yuekuan Zhou, Sunliang Cao, Jérôme Le Dréau, James Parker, Laura Aelenei, Sarah O’Connell, Marcus Keane, Daniel Aelenei, Kun Zhang, Johann Meulemans, Marcus Brennenstuhl, Malcom Yadack, Ursula Eicker, Kyriaki Foteinaki, Rune Grønborg Junker, Rongling Li, Christian Finck, Fulin Wang, Anjukan Kathirgamanathan, Despoina Christantoni, Donal Finn, Francesco D’Ettorre, Killian Murphy, Маттиа Де Роса, Mohammad Saffari, Eleni Mangina, Monika Hall, Áthila Quaresma Santos, Krzysztof Arendt, Glenn Reynders, Reino Ruusu, Ala Hasan

Bibliographic record

VenueVBN Forskningsportal (Aalborg Universitet) · 2019
Typereport
Languageen
FieldEnergy
TopicRenewable Energy and Sustainability
Canadian institutionsPolytechnique MontréalConcordia University
Fundersnot available
KeywordsArchitectural engineeringEnergy (signal processing)Flexibility (engineering)Agency (philosophy)Energy performanceCivil engineeringEnvironmental scienceEngineeringSociologyEconomicsPhysicsManagement
DOInot available

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.257
Teacher spread0.229 · 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 abstractno

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